{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T14:30:18Z","timestamp":1777991418972,"version":"3.51.4"},"reference-count":184,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,5,26]],"date-time":"2020-05-26T00:00:00Z","timestamp":1590451200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,5,26]],"date-time":"2020-05-26T00:00:00Z","timestamp":1590451200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1007\/s00521-020-05020-4","type":"journal-article","created":{"date-parts":[[2020,5,26]],"date-time":"2020-05-26T21:04:25Z","timestamp":1590527065000},"page":"1029-1054","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":67,"title":["A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis methods"],"prefix":"10.1007","volume":"33","author":[{"given":"Karrar Hameed","family":"Abdulkareem","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nureize","family":"Arbaiy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. A.","family":"Zaidan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B. B.","family":"Zaidan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"O. S.","family":"Albahri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. A.","family":"Alsalem","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahmood M.","family":"Salih","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,5,26]]},"reference":[{"key":"5020_CR1","doi-asserted-by":"crossref","unstructured":"Liu S, Rahman M, Wong C, Lin S, Jiang G, Kwok N (2015) Dark channel prior based image de-hazing: a review. In: 2015 5th international conference on information science and technology (ICIST). IEEE, pp 345\u2013350","DOI":"10.1109\/ICIST.2015.7288994"},{"issue":"12","key":"5020_CR2","doi-asserted-by":"crossref","first-page":"15409","DOI":"10.1007\/s11042-017-5122-y","volume":"77","author":"J El Khoury","year":"2018","unstructured":"El Khoury J, Le Moan S, Thomas J-B, Mansouri A (2018) Color and sharpness assessment of single image dehazing. Multimed Tools Appl 77(12):15409\u201315430","journal-title":"Multimed Tools Appl"},{"issue":"8","key":"5020_CR3","doi-asserted-by":"crossref","first-page":"2042","DOI":"10.1109\/TMM.2019.2894958","volume":"21","author":"B Hu","year":"2019","unstructured":"Hu B, Li L, Liu H, Lin W, Qian J (2019) Pairwise-comparison-based rank learning for benchmarking image restoration algorithms. IEEE Trans Multimed 21(8):2042\u20132056","journal-title":"IEEE Trans Multimed"},{"key":"5020_CR4","doi-asserted-by":"publisher","unstructured":"Zhu Q, Hu Z, Ivanov K (2015) Quantitative assessment mechanism transcending visual perceptual evaluation for image dehazing. In: 2015 IEEE international conference on robotics and biomimetics (ROBIO), 6\u20139 Dec 2015, pp 808\u2013813. https:\/\/doi.org\/10.1109\/robio.2015.7418869","DOI":"10.1109\/robio.2015.7418869"},{"key":"5020_CR5","doi-asserted-by":"crossref","unstructured":"Hu ZY, Liu Q (2014) A method for dehazed image quality assessment. In: Wen Z, Li T (eds) Practical applications of intelligent systems, Iske 2013. Advances in intelligent systems and computing, vol 279, pp 909\u2013913","DOI":"10.1007\/978-3-642-54927-4_87"},{"key":"5020_CR6","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1109\/ACCESS.2015.2511558","volume":"4","author":"Y Xu","year":"2016","unstructured":"Xu Y, Wen J, Fei L, Zhang Z (2016) Review of video and image defogging algorithms and related studies on image restoration and enhancement. IEEE Access 4:165\u2013188. https:\/\/doi.org\/10.1109\/ACCESS.2015.2511558","journal-title":"IEEE Access"},{"issue":"3","key":"5020_CR7","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1109\/JAS.2017.7510532","volume":"4","author":"W Wang","year":"2017","unstructured":"Wang W, Yuan X (2017) Recent advances in image dehazing. IEEE\/CAA J Autom Sin 4(3):410\u2013436. https:\/\/doi.org\/10.1109\/JAS.2017.7510532","journal-title":"IEEE\/CAA J Autom Sin"},{"key":"5020_CR8","doi-asserted-by":"publisher","unstructured":"Mai J, Zhu Q, Wu D (2014) The latest challenges and opportunities in the current single image dehazing algorithms. In: 2014 IEEE international conference on robotics and biomimetics (ROBIO 2014), 5\u201310 Dec 2014, pp 118\u2013123. https:\/\/doi.org\/10.1109\/robio.2014.7090317","DOI":"10.1109\/robio.2014.7090317"},{"issue":"1","key":"5020_CR9","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1007\/s11771-014-1938-z","volume":"21","author":"F Guo","year":"2014","unstructured":"Guo F, Tang J, Cai ZX (2014) Objective measurement for image defogging algorithms. J Cent South Univ 21(1):272\u2013286. https:\/\/doi.org\/10.1007\/s11771-014-1938-z","journal-title":"J Cent South Univ"},{"issue":"2013","key":"5020_CR10","first-page":"118","volume":"10\u201312","author":"X Liu","year":"2013","unstructured":"Liu X, Hardeberg JY (2013) Fog removal algorithms: survey and perceptual evaluation. Eur Workshop Vis Inf Process (EUVIP) 10\u201312(2013):118\u2013123","journal-title":"Eur Workshop Vis Inf Process (EUVIP)"},{"key":"5020_CR11","doi-asserted-by":"publisher","unstructured":"Hsieh CH, Horng SC, Huang ZJ, Zhao Q (2017) Objective Haze removal assessment based on two-objective optimization. In: 2017 IEEE 8th international conference on awareness science and technology (iCAST), 8\u201310 Nov 2017, pp 279\u2013283. https:\/\/doi.org\/10.1109\/icawst.2017.8256463","DOI":"10.1109\/icawst.2017.8256463"},{"key":"5020_CR12","doi-asserted-by":"crossref","unstructured":"Chengtao C, Qiuyu Z, Yanhua L, IEEE (2015) A survey of image dehazing approaches. In: 2015 27th Chinese control and decision conference, pp 3964\u20133969","DOI":"10.1109\/CCDC.2015.7162616"},{"key":"5020_CR13","doi-asserted-by":"crossref","first-page":"20481","DOI":"10.1109\/ACCESS.2018.2822775","volume":"6","author":"K Wang","year":"2018","unstructured":"Wang K, Wang H, Li Y, Hu Y, Li Y (2018) Quantitative performance evaluation for dehazing algorithms on synthetic outdoor hazy images. IEEE Access 6:20481\u201320496","journal-title":"IEEE Access"},{"issue":"1","key":"5020_CR14","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1109\/TIP.2018.2867951","volume":"28","author":"B Li","year":"2019","unstructured":"Li B et al (2019) Benchmarking single-image dehazing and beyond. IEEE Trans Image Process 28(1):492\u2013505","journal-title":"IEEE Trans Image Process"},{"key":"5020_CR15","doi-asserted-by":"crossref","unstructured":"Zuiderveld K (1994) Contrast limited adaptive histogram equalization. In: Graphics gems IV. Academic Press Professional, Inc., pp 474\u2013485","DOI":"10.1016\/B978-0-12-336156-1.50061-6"},{"key":"5020_CR16","doi-asserted-by":"crossref","unstructured":"Petro AB, Sbert C, Morel JM (2014) Multiscale retinex. Image Processing On Line, pp 71\u201388","DOI":"10.5201\/ipol.2014.107"},{"key":"5020_CR17","doi-asserted-by":"crossref","unstructured":"Santra S, Chanda B (2016) Day\/night unconstrained image dehazing. In: 2016 23rd international conference on pattern recognition (ICPR). IEEE, pp 1406\u20131411","DOI":"10.1109\/ICPR.2016.7899834"},{"issue":"7","key":"5020_CR18","doi-asserted-by":"publisher","first-page":"3281","DOI":"10.1109\/tii.2018.2810188","volume":"14","author":"X Jiang","year":"2018","unstructured":"Jiang X, Sun J, Ding H, Li C (2018) Video image de-fogging recognition algorithm based on recurrent neural network. IEEE Trans Ind Inform 14(7):3281\u20133288. https:\/\/doi.org\/10.1109\/tii.2018.2810188","journal-title":"IEEE Trans Ind Inform"},{"key":"5020_CR19","doi-asserted-by":"crossref","unstructured":"Ma KD, Liu WT, Wang Z, IEEE (2015) Perceptual evaluation of single image dehazing algorithms. In: 2015 IEEE international conference on image processing, ICIP. IEEE, pp 3600\u20133604","DOI":"10.1109\/ICIP.2015.7351475"},{"key":"5020_CR20","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1007\/978-3-030-04061-1_11","volume-title":"Computer aided intervention and diagnostics in clinical and medical images","author":"K Senthilkumar","year":"2019","unstructured":"Senthilkumar K, Sivakumar P (2019) A review on haze removal techniques. In: Peter JD, Fernandes SL, Thomaz CE, Viriri S (eds) Computer aided intervention and diagnostics in clinical and medical images. Springer, Berlin, pp 113\u2013123"},{"issue":"2","key":"5020_CR21","doi-asserted-by":"crossref","first-page":"87","DOI":"10.5566\/ias.v27.p87-95","volume":"27","author":"N Hauti\u00e8re","year":"2011","unstructured":"Hauti\u00e8re N, Tarel J-P, Aubert D, Dumont E (2011) Blind contrast enhancement assessment by gradient ratioing at visible edges. Image Anal Stereol 27(2):87\u201395","journal-title":"Image Anal Stereol"},{"issue":"4","key":"5020_CR22","first-page":"289","volume":"2","author":"A Jafari","year":"2008","unstructured":"Jafari A, Jafarian M, Zareei A, Zaerpour F (2008) Using fuzzy Delphi method in maintenance strategy selection problem. J Uncertain Syst 2(4):289\u2013298","journal-title":"J Uncertain Syst"},{"key":"5020_CR23","unstructured":"Khatami Firoozabadi A, Bamdad Soofi J, Taheri F, Salehi M (2009) Presentation decision support system inconjunction with supplier selection and evaluation using the UTA method. J Manag Dev 13\u201388"},{"issue":"4","key":"5020_CR24","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.3233\/IFS-141216","volume":"29","author":"I Sultana","year":"2015","unstructured":"Sultana I, Ahmed I, Azeem A (2015) An integrated approach for multiple criteria supplier selection combining Fuzzy Delphi, Fuzzy AHP and Fuzzy TOPSIS. J Intell Fuzzy Syst 29(4):1273\u20131287","journal-title":"J Intell Fuzzy Syst"},{"issue":"12","key":"5020_CR25","doi-asserted-by":"publisher","first-page":"1773","DOI":"10.1016\/j.aeue.2015.09.001","volume":"69","author":"A Kumari","year":"2015","unstructured":"Kumari A, Sahoo SK (2015) Fast single image and video deweathering using look-up-table approach. AEU Int J Electron Commun 69(12):1773\u20131782. https:\/\/doi.org\/10.1016\/j.aeue.2015.09.001","journal-title":"AEU Int J Electron Commun"},{"key":"5020_CR26","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1016\/j.compeleceng.2015.02.009","volume":"46","author":"W Sun","year":"2015","unstructured":"Sun W, Wang H, Sun CH, Guo BL, Jia WY, Sun MG (2015) Fast single image haze removal via local atmospheric light veil estimation. Comput Electr Eng 46:371\u2013383. https:\/\/doi.org\/10.1016\/j.compeleceng.2015.02.009","journal-title":"Comput Electr Eng"},{"key":"5020_CR27","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.ijleo.2018.02.067","volume":"163","author":"NS Pal","year":"2018","unstructured":"Pal NS, Lal S, Shinghal K (2018) Visibility enhancement of images degraded by hazy weather conditions using modified non-local approach. Optik 163:99\u2013113. https:\/\/doi.org\/10.1016\/j.ijleo.2018.02.067","journal-title":"Optik"},{"key":"5020_CR28","doi-asserted-by":"publisher","unstructured":"Rong W, XiaoGang Y (2012) A fast method of foggy image enhancement. In: Proceedings of 2012 international conference on measurement, information and control, vol 2, 18\u201320 May 2012, pp 883\u2013887. https:\/\/doi.org\/10.1109\/mic.2012.6273428","DOI":"10.1109\/mic.2012.6273428"},{"issue":"12","key":"5020_CR29","doi-asserted-by":"publisher","first-page":"1855","DOI":"10.1109\/lgrs.2016.2614890","volume":"13","author":"XX Pan","year":"2016","unstructured":"Pan XX, Xie FY, Jiang ZG, Shi ZW, Luo XY (2016) No-reference assessment on haze for remote-sensing images. IEEE Geosci Remote Sens Lett 13(12):1855\u20131859. https:\/\/doi.org\/10.1109\/lgrs.2016.2614890","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"5020_CR30","doi-asserted-by":"crossref","unstructured":"Elhefnawy EI, Ali HS, Mahmoud II, (2016) Effective visibility restoration and enhancement of air polluted images with high information fidelity. In: ElKhamy S, ElBadawy H, ElDiasty S (eds) 2016 33rd National radio science conference, NRSC, pp 195\u2013204","DOI":"10.1109\/NRSC.2016.7450828"},{"key":"5020_CR31","doi-asserted-by":"crossref","first-page":"624601","DOI":"10.1117\/12.664591","volume-title":"Visual information processing XV","author":"DJ Jobson","year":"2006","unstructured":"Jobson DJ, Rahman Z-U, Woodell GA, Hines GD (2006) A comparison of visual statistics for the image enhancement of foresite aerial images with those of major image classes. In: Rahman Z, Reichenbach SE, Neifeld MA (eds) Visual information processing XV, vol 6246. International Society for Optics and Photonics, Bellingham, p 624601"},{"issue":"1","key":"5020_CR32","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.imavis.2009.04.011","volume":"28","author":"TL Economopoulos","year":"2010","unstructured":"Economopoulos TL, Asvestas PA, Matsopoulos GK (2010) Contrast enhancement of images using partitioned iterated function systems. Image Vis Comput 28(1):45\u201354","journal-title":"Image Vis Comput"},{"key":"5020_CR33","doi-asserted-by":"publisher","unstructured":"Zhang E, Lv K, Li Y, Duan J (2013) A fast video image defogging algorithm based on dark channel prior. In: 2013 6th International congress on image and signal processing (CISP), vol 01, 18 Dec 2013, 18 Dec. 2013, pp 219\u2013223. https:\/\/doi.org\/10.1109\/cisp.2013.6743990","DOI":"10.1109\/cisp.2013.6743990"},{"issue":"3","key":"5020_CR34","first-page":"677","volume":"32","author":"F Guo","year":"2016","unstructured":"Guo F, Peng H, Tang J (2016) Fast defogging and restoration assessment approach to road scene images. J Inf Sci Eng 32(3):677\u2013702","journal-title":"J Inf Sci Eng"},{"issue":"1","key":"5020_CR35","doi-asserted-by":"crossref","first-page":"011006","DOI":"10.1117\/1.3267105","volume":"19","author":"EC Larson","year":"2010","unstructured":"Larson EC, Chandler DM (2010) Most apparent distortion: full-reference image quality assessment and the role of strategy. J Electron Imaging 19(1):011006","journal-title":"J Electron Imaging"},{"issue":"4","key":"5020_CR36","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600\u2013612","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"5020_CR37","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1109\/97.995823","volume":"9","author":"Z Wang","year":"2002","unstructured":"Wang Z, Bovik AC (2002) A universal image quality index. IEEE Signal Process Lett 9(3):81\u201384","journal-title":"IEEE Signal Process Lett"},{"key":"5020_CR38","doi-asserted-by":"publisher","unstructured":"Perez J, Sanz PJ, Bryson M, Williams SB (2017) A benchmarking study on single image dehazing techniques for underwater autonomous vehicles. In: OCEANS 2017\u2014Aberdeen, 19\u201322 June 2017, pp 1\u20139. https:\/\/doi.org\/10.1109\/oceanse.2017.8084771","DOI":"10.1109\/oceanse.2017.8084771"},{"issue":"4","key":"5020_CR39","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1049\/iet-ipr.2016.0819","volume":"12","author":"K Kim","year":"2017","unstructured":"Kim K, Kim S, Kim K-S (2017) Effective image enhancement techniques for fog-affected indoor and outdoor images. IET Image Proc 12(4):465\u2013471","journal-title":"IET Image Proc"},{"key":"5020_CR40","doi-asserted-by":"publisher","unstructured":"Sadhvi N, Kumari A, Sudha TA (2016) Bi-orthogonal wavelet transform based single image visibility restoration on hazy scenes. In: 2016 International conference on communication and signal processing (ICCSP), 6\u20138 April 2016, pp 2199\u20132203. https:\/\/doi.org\/10.1109\/iccsp.2016.7754573","DOI":"10.1109\/iccsp.2016.7754573"},{"key":"5020_CR41","doi-asserted-by":"publisher","unstructured":"Song W, Deng B, Zhang H, Xiao Q, Peng S (2016) An adaptive real-time video defogging method based on context-sensitiveness. In: 2016 IEEE international conference on real-time computing and robotics (RCAR), 6\u201310 June 2016, pp 406\u2013410. https:\/\/doi.org\/10.1109\/rcar.2016.7784063","DOI":"10.1109\/rcar.2016.7784063"},{"issue":"9","key":"5020_CR42","doi-asserted-by":"publisher","first-page":"4217","DOI":"10.1109\/tip.2017.2706526","volume":"26","author":"JM Guo","year":"2017","unstructured":"Guo JM, Syue JY, Radzicki VR, Lee H (2017) An efficient fusion-based defogging. IEEE Trans Image Process 26(9):4217\u20134228. https:\/\/doi.org\/10.1109\/tip.2017.2706526","journal-title":"IEEE Trans Image Process"},{"key":"5020_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cviu.2017.09.003","volume":"165","author":"Y Li","year":"2017","unstructured":"Li Y, You S, Brown MS, Tan RT (2017) Haze visibility enhancement: a survey and quantitative benchmarking. Comput Vis Image Underst 165:1\u201316. https:\/\/doi.org\/10.1016\/j.cviu.2017.09.003","journal-title":"Comput Vis Image Underst"},{"key":"5020_CR44","doi-asserted-by":"publisher","unstructured":"Ancuti C, Ancuti CO, Vleeschouwer CD (2016) D-HAZY: a dataset to evaluate quantitatively dehazing algorithms. In: 2016 IEEE international conference on image processing (ICIP), 25\u201328 Sept 2016, pp 2226\u20132230. https:\/\/doi.org\/10.1109\/icip.2016.7532754","DOI":"10.1109\/icip.2016.7532754"},{"key":"5020_CR45","unstructured":"Goswami S, Kumar J, Goswami J (2015) A hybrid approach for visibility enhancement in foggy image. In: 2015 2nd International conference on computing for sustainable global development (INDIACom), 11\u201313 March 2015, pp 175\u2013180"},{"key":"5020_CR46","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.optlastec.2016.07.015","volume":"86","author":"W Zhang","year":"2016","unstructured":"Zhang W, Liang J, Ju H, Ren L, Qu E, Wu Z (2016) A robust haze-removal scheme in polarimetric dehazing imaging based on automatic identification of sky region. Opt Laser Technol 86:145\u2013151. https:\/\/doi.org\/10.1016\/j.optlastec.2016.07.015","journal-title":"Opt Laser Technol"},{"issue":"4","key":"5020_CR47","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.ajsl.2017.12.004","volume":"33","author":"TY Pham","year":"2017","unstructured":"Pham TY, Ma HM, Yeo GT (2017) Application of Fuzzy Delphi TOPSIS to locate logistics centers in Vietnam: the Logisticians\u2019 perspective. Asian J Shipping Logist 33(4):211\u2013219","journal-title":"Asian J Shipping Logist"},{"issue":"2","key":"5020_CR48","first-page":"109","volume":"27","author":"AM Sharifabadi","year":"2015","unstructured":"Sharifabadi AM, Sadrabadi AN, Bezegabadi FD, Peirow S, Taki E (2015) Presenting a model for evaluation and selecting suppliers using interpretive structure modeling (ISM). Int J Acad Res 27(2):109\u2013120","journal-title":"Int J Acad Res"},{"issue":"32","key":"5020_CR49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.17485\/ijst\/2015\/v8i32\/92146","volume":"8","author":"N Kamarulzaman","year":"2015","unstructured":"Kamarulzaman N, Jomhari N, Raus NM, Yusoff MZM (2015) Applying the fuzzy delphi method to analyze the user requirement for user centred design process in order to create learning applications. Indian J Sci Technol 8(32):1\u201317","journal-title":"Indian J Sci Technol"},{"issue":"3","key":"5020_CR50","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1007\/s40815-017-0370-6","volume":"20","author":"E Rahimianzarif","year":"2018","unstructured":"Rahimianzarif E, Moradi M (2018) Designing integrated management criteria of creative ideation based on fuzzy delphi analytical hierarchy process. Int J Fuzzy Syst 20(3):877\u2013900","journal-title":"Int J Fuzzy Syst"},{"issue":"4","key":"5020_CR51","first-page":"228","volume":"72","author":"SK Manakandan","year":"2017","unstructured":"Manakandan SK, Rosnah I, Mohd JR, Priya R (2017) Pesticide applicators questionnaire content validation: a fuzzy delphi method. Med J Malays 72(4):228\u2013235","journal-title":"Med J Malays"},{"issue":"4","key":"5020_CR52","doi-asserted-by":"crossref","first-page":"270","DOI":"10.3390\/en9040270","volume":"9","author":"H Zhao","year":"2016","unstructured":"Zhao H, Li N (2016) Optimal siting of charging stations for electric vehicles based on fuzzy Delphi and hybrid multi-criteria decision making approaches from an extended sustainability perspective. Energies 9(4):270","journal-title":"Energies"},{"issue":"1","key":"5020_CR53","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1016\/j.eswa.2009.05.068","volume":"37","author":"Y-L Hsu","year":"2010","unstructured":"Hsu Y-L, Lee C-H, Kreng VB (2010) The application of Fuzzy Delphi method and Fuzzy AHP in lubricant regenerative technology selection. Expert Syst Appl 37(1):419\u2013425","journal-title":"Expert Syst Appl"},{"issue":"1","key":"5020_CR54","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1007\/s11277-015-2976-z","volume":"86","author":"S Lee","year":"2016","unstructured":"Lee S, Seo K-K (2016) A hybrid multi-criteria decision-making model for a cloud service selection problem using BSC, fuzzy Delphi method and fuzzy AHP. Wireless Pers Commun 86(1):57\u201375","journal-title":"Wireless Pers Commun"},{"issue":"3","key":"5020_CR55","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1007\/s40092-014-0066-6","volume":"10","author":"F Tahriri","year":"2014","unstructured":"Tahriri F, Mousavi M, Haghighi SH, Dawal SZM (2014) The application of fuzzy Delphi and fuzzy inference system in supplier ranking and selection. J Ind Eng Int 10(3):66","journal-title":"J Ind Eng Int"},{"issue":"11","key":"5020_CR56","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1007\/s10916-018-1064-9","volume":"42","author":"M Alsalem","year":"2018","unstructured":"Alsalem M et al (2018) Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges, issues and methodological aspects. J Med Syst 42(11):204","journal-title":"J Med Syst"},{"issue":"8","key":"5020_CR57","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s10916-018-0983-9","volume":"42","author":"A Albahri","year":"2018","unstructured":"Albahri A, Zaidan A, Albahri O, Zaidan B, Alsalem M (2018) Real-time fault-tolerant mhealth system: comprehensive review of healthcare services, opens issues, challenges and methodological aspects. J Med Syst 42(8):137","journal-title":"J Med Syst"},{"key":"5020_CR58","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.measurement.2017.09.027","volume":"114","author":"QM Yas","year":"2017","unstructured":"Yas QM, Zaidan A, Zaidan B, Rahmatullah B, Karim HA (2017) Comprehensive insights into evaluation and benchmarking of real-time skin detectors: review, open issues & challenges, and recommended solutions. Measurement 114:243\u2013260","journal-title":"Measurement"},{"key":"5020_CR59","doi-asserted-by":"crossref","unstructured":"Whaiduzzaman M, Gani A, Anuar NB, Shiraz M, Haque MN, Haque IT (2014) Cloud service selection using multicriteria decision analysis. Sci World J 2014:1\u201310","DOI":"10.1155\/2014\/459375"},{"issue":"4","key":"5020_CR60","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s10916-018-0916-7","volume":"42","author":"N Kalid","year":"2018","unstructured":"Kalid N et al (2018) Based on real time remote health monitoring systems: a new approach for prioritization \u201clarge scales data\u201d patients with chronic heart diseases using body sensors and communication technology. J Med Syst 42(4):69","journal-title":"J Med Syst"},{"key":"5020_CR61","doi-asserted-by":"crossref","first-page":"37269","DOI":"10.1109\/ACCESS.2019.2898214","volume":"7","author":"A Albahri","year":"2019","unstructured":"Albahri A et al (2019) Based multiple heterogeneous wearable sensors: a smart real-time health monitoring structured for hospitals distributor. IEEE Access 7:37269\u201337323","journal-title":"IEEE Access"},{"key":"5020_CR62","doi-asserted-by":"crossref","first-page":"50052","DOI":"10.1109\/ACCESS.2019.2910411","volume":"7","author":"O Albahri","year":"2019","unstructured":"Albahri O et al (2019) Fault-tolerant mHealth framework in the context of IoT-based real-time wearable health data sensors. IEEE Access 7:50052\u201350080","journal-title":"IEEE Access"},{"key":"5020_CR63","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12553-018-0223-9","volume":"8","author":"A Zaidan","year":"2018","unstructured":"Zaidan A et al (2018) A review on smartphone skin cancer diagnosis apps in evaluation and benchmarking: coherent taxonomy, open issues and recommendation pathway solution. Health Technol 8:1\u201316","journal-title":"Health Technol"},{"key":"5020_CR64","unstructured":"Petrovic-Lazarevic S, Abraham A (2004) Hybrid fuzzy-linear programming approach for multi criteria decision making problems. arXiv preprint cs\/0405019"},{"key":"5020_CR65","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.jbi.2014.11.012","volume":"53","author":"A Zaidan","year":"2015","unstructured":"Zaidan A, Zaidan B, Al-Haiqi A, Kiah MLM, Hussain M, Abdulnabi M (2015) Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS. J Biomed Inform 53:390\u2013404","journal-title":"J Biomed Inform"},{"key":"5020_CR66","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.dss.2015.07.002","volume":"78","author":"A Zaidan","year":"2015","unstructured":"Zaidan A, Zaidan B, Hussain M, Haiqi A, Kiah MM, Abdulnabi M (2015) Multi-criteria analysis for OS-EMR software selection problem: a comparative study. Decis Support Syst 78:15\u201327","journal-title":"Decis Support Syst"},{"issue":"1","key":"5020_CR67","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1186\/s40064-016-1828-y","volume":"5","author":"BN Abdullateef","year":"2016","unstructured":"Abdullateef BN, Elias NF, Mohamed H, Zaidan A, Zaidan B (2016) An evaluation and selection problems of OSS-LMS packages. SpringerPlus 5(1):248","journal-title":"SpringerPlus"},{"issue":"03","key":"5020_CR68","doi-asserted-by":"crossref","first-page":"1759002","DOI":"10.1142\/S0218001417590029","volume":"31","author":"QM Yas","year":"2017","unstructured":"Yas QM, Zadain A, Zaidan B, Lakulu M, Rahmatullah B (2017) Towards on develop a framework for the evaluation and benchmarking of skin detectors based on artificial intelligent models using multi-criteria decision-making techniques. Int J Pattern Recognit Artif Intell 31(03):1759002","journal-title":"Int J Pattern Recognit Artif Intell"},{"issue":"10","key":"5020_CR69","doi-asserted-by":"crossref","first-page":"1365","DOI":"10.1002\/spe.2465","volume":"47","author":"B Zaidan","year":"2017","unstructured":"Zaidan B, Zaidan A, Karim HA, Ahmad N (2017) A new digital watermarking evaluation and benchmarking methodology using an external group of evaluators and multi-criteria analysis based on \u2018large-scale data\u2019. Softw Pract Exp 47(10):1365\u20131392","journal-title":"Softw Pract Exp"},{"key":"5020_CR70","volume-title":"GIS and multicriteria decision analysis","author":"J Malczewski","year":"1999","unstructured":"Malczewski J (1999) GIS and multicriteria decision analysis. Wiley, New York"},{"issue":"07","key":"5020_CR71","doi-asserted-by":"crossref","first-page":"1750116","DOI":"10.1142\/S021812661750116X","volume":"26","author":"B Zaidan","year":"2017","unstructured":"Zaidan B, Zaidan A (2017) Software and hardware FPGA-based digital watermarking and steganography approaches: toward new methodology for evaluation and benchmarking using multi-criteria decision-making techniques. J Circuits Syst Comput 26(07):1750116","journal-title":"J Circuits Syst Comput"},{"key":"5020_CR72","doi-asserted-by":"crossref","unstructured":"Zaidan B, Zaidan A, Abdul Karim H, Ahmad N (2017) A new approach based on multi-dimensional evaluation and benchmarking for data hiding techniques. Int J Inf Technol Decis Mak 16:1\u201342","DOI":"10.1142\/S0219622017500183"},{"issue":"3","key":"5020_CR73","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1007\/s11235-017-0401-5","volume":"68","author":"F Jumaah","year":"2018","unstructured":"Jumaah F, Zaidan A, Zaidan B, Bahbibi R, Qahtan M, Sali A (2018) Technique for order performance by similarity to ideal solution for solving complex situations in multi-criteria optimization of the tracking channels of GPS baseband telecommunication receivers. Telecommun Syst 68(3):425\u2013443","journal-title":"Telecommun Syst"},{"key":"5020_CR74","doi-asserted-by":"crossref","unstructured":"Rahmatullah B, Zaidan A, Mohamed F, Sali A (2017) Multi-complex attributes analysis for optimum GPS baseband receiver tracking channels selection. In: 2017 4th international conference on control, decision and information technologies (CoDIT), 2017. IEEE, pp 1084\u20131088","DOI":"10.1109\/CoDIT.2017.8102743"},{"issue":"05","key":"5020_CR75","doi-asserted-by":"crossref","first-page":"1211","DOI":"10.1142\/S0219622017500225","volume":"16","author":"OH Salman","year":"2017","unstructured":"Salman OH, Zaidan A, Zaidan B, Naserkalid A, Hashim M (2017) Novel methodology for triage and prioritizing using \u201cbig data\u201d patients with chronic heart diseases through telemedicine environmental. Int J Inf Technol Decis Mak 16(05):1211\u20131245","journal-title":"Int J Inf Technol Decis Mak"},{"key":"5020_CR76","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.measurement.2017.12.019","volume":"117","author":"B Zaidan","year":"2018","unstructured":"Zaidan B, Zaidan A (2018) Comparative study on the evaluation and benchmarking information hiding approaches based multi-measurement analysis using TOPSIS method with different normalisation, separation and context techniques. Measurement 117:277\u2013294","journal-title":"Measurement"},{"issue":"1","key":"5020_CR77","doi-asserted-by":"crossref","first-page":"109","DOI":"10.24048\/ams3.no1.2014-109","volume":"3","author":"M Oliveira","year":"2014","unstructured":"Oliveira M, Fontes DB, Pereira T (2014) Multicriteria decision making: a case study in the automobile industry. Ann Manag Sci 3(1):109","journal-title":"Ann Manag Sci"},{"key":"5020_CR78","doi-asserted-by":"crossref","unstructured":"AlSattar H et al (2018) MOGSABAT: a metaheuristic hybrid algorithm for solving multi-objective optimisation problems. Neural Comput Appl 32:1\u201315","DOI":"10.1007\/s00521-018-3808-3"},{"key":"5020_CR79","doi-asserted-by":"crossref","unstructured":"Enaizan O et al (2018) Electronic medical record systems: decision support examination framework for individual, security and privacy concerns using multi-perspective analysis. Health Technol 1\u201328","DOI":"10.1007\/s12553-018-0278-7"},{"key":"5020_CR80","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.cor.2018.12.019","volume":"104","author":"MM Salih","year":"2019","unstructured":"Salih MM, Zaidan B, Zaidan A, Ahmed MA (2019) Survey on fuzzy TOPSIS state-of-the-art between 2007 and 2017. Comput Oper Res 104:207\u2013227","journal-title":"Comput Oper Res"},{"issue":"2","key":"5020_CR81","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1007\/s10916-017-0883-4","volume":"42","author":"N Kalid","year":"2018","unstructured":"Kalid N, Zaidan A, Zaidan B, Salman OH, Hashim M, Muzammil H (2018) Based real time remote health monitoring systems: a review on patients prioritization and related \u201cbig data\u201d using body sensors information and communication technology. J Med Syst 42(2):30","journal-title":"J Med Syst"},{"key":"5020_CR82","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.measurement.2018.01.011","volume":"118","author":"F Jumaah","year":"2018","unstructured":"Jumaah F, Zadain A, Zaidan B, Hamzah A, Bahbibi R (2018) Decision-making solution based multi-measurement design parameter for optimization of GPS receiver tracking channels in static and dynamic real-time positioning multipath environment. Measurement 118:83\u201395","journal-title":"Measurement"},{"issue":"9","key":"5020_CR83","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1007\/s10916-018-1006-6","volume":"42","author":"O Albahri","year":"2018","unstructured":"Albahri O, Zaidan A, Zaidan B, Hashim M, Albahri A, Alsalem M (2018) Real-time remote health-monitoring Systems in a Medical Centre: a review of the provision of healthcare services-based body sensor information, open challenges and methodological aspects. J Med Syst 42(9):164","journal-title":"J Med Syst"},{"key":"5020_CR84","doi-asserted-by":"publisher","unstructured":"Zaidan A, Zaidan B, Alsalem M, Albahri O, Albahri A, Qahtan M (2019) Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-019-04325-3","DOI":"10.1007\/s00521-019-04325-3"},{"issue":"5","key":"5020_CR85","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1007\/s10916-018-0943-4","volume":"42","author":"O Albahri","year":"2018","unstructured":"Albahri O et al (2018) Systematic review of real-time remote health monitoring system in triage and priority-based sensor technology: taxonomy, open challenges, motivation and recommendations. J Med Syst 42(5):80","journal-title":"J Med Syst"},{"issue":"5","key":"5020_CR86","doi-asserted-by":"crossref","first-page":"3387","DOI":"10.1007\/s11042-019-07925-2","volume":"79","author":"C Lim","year":"2020","unstructured":"Lim C, Tan K, Zaidan A, Zaidan B (2020) A proposed methodology of bringing past life in digital cultural heritage through crowd simulation: a case study in George Town, Malaysia. Multimed Tools Appl 79(5):3387\u20133423","journal-title":"Multimed Tools Appl"},{"key":"5020_CR87","doi-asserted-by":"crossref","unstructured":"Napi N, Zaidan A, Zaidan B, Albahri O, Alsalem M, Albahri A (2019) Medical emergency triage and patient prioritisation in a telemedicine environment: a systematic review. Health Technol 9:1\u201322","DOI":"10.1007\/s12553-019-00357-w"},{"key":"5020_CR88","doi-asserted-by":"crossref","unstructured":"Jadhav A, Sonar R (2009) Analytic hierarchy process (AHP), weighted scoring method (WSM), and hybrid knowledge based system (HKBS) for software selection: a comparative study. In: 2009 Second international conference on emerging trends in engineering and technology. IEEE, pp 991\u2013997","DOI":"10.1109\/ICETET.2009.33"},{"issue":"4","key":"5020_CR89","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1142\/S0219622019300039","volume":"18","author":"M Khatari","year":"2019","unstructured":"Khatari M, Zaidan A, Zaidan B, Albahri O, Alsalem M (2019) Multi-criteria evaluation and benchmarking for active queue management methods: open issues challenges and recommended pathway solutions. Int J Inf Technol Decis Mak 18(4):1187\u20131242","journal-title":"Int J Inf Technol Decis Mak"},{"issue":"7","key":"5020_CR90","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1007\/s10916-019-1336-z","volume":"43","author":"E Almahdi","year":"2019","unstructured":"Almahdi E, Zaidan A, Zaidan B, Alsalem M, Albahri O, Albahri A (2019) Mobile patient monitoring systems from a benchmarking aspect: challenges, open issues and recommended solutions. J Med Syst 43(7):207","journal-title":"J Med Syst"},{"issue":"7","key":"5020_CR91","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1007\/s10916-019-1339-9","volume":"43","author":"E Almahdi","year":"2019","unstructured":"Almahdi E, Zaidan A, Zaidan B, Alsalem M, Albahri O, Albahri A (2019) Mobile-based patient monitoring systems: a prioritisation framework using multi-criteria decision-making techniques. J Med Syst 43(7):219","journal-title":"J Med Syst"},{"issue":"7","key":"5020_CR92","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s10916-019-1362-x","volume":"43","author":"K Mohammed","year":"2019","unstructured":"Mohammed K et al (2019) Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution procedure. J Med Syst 43(7):223","journal-title":"J Med Syst"},{"key":"5020_CR93","doi-asserted-by":"crossref","first-page":"126201","DOI":"10.1109\/ACCESS.2019.2936898","volume":"7","author":"M Alaa","year":"2019","unstructured":"Alaa M et al (2019) Assessment and ranking framework for the English skills of pre-service teachers based on fuzzy Delphi and TOPSIS methods. IEEE Access 7:126201\u2013126223","journal-title":"IEEE Access"},{"key":"5020_CR94","doi-asserted-by":"crossref","first-page":"146620","DOI":"10.1109\/ACCESS.2019.2941640","volume":"7","author":"N Ibrahim","year":"2019","unstructured":"Ibrahim N et al (2019) Multi-criteria evaluation and benchmarking for Young learners\u2019 english language mobile applications in terms of LSRW skills. IEEE Access 7:146620\u2013146651","journal-title":"IEEE Access"},{"issue":"2","key":"5020_CR95","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1007\/s11235-019-00575-7","volume":"72","author":"M Talal","year":"2019","unstructured":"Talal M et al (2019) Comprehensive review and analysis of anti-malware apps for smartphones. Telecommun Syst 72(2):285\u2013337","journal-title":"Telecommun Syst"},{"issue":"16","key":"5020_CR96","doi-asserted-by":"crossref","first-page":"1865","DOI":"10.3923\/jas.2014.1865.1870","volume":"14","author":"A-S Nedher","year":"2014","unstructured":"Nedher A-S, Hassan S, Katuk N (2014) On multi attribute decision making methods: prioritizing information security controls. J Appl Sci 14(16):1865\u20131870","journal-title":"J Appl Sci"},{"key":"5020_CR97","doi-asserted-by":"crossref","first-page":"105151","DOI":"10.1016\/j.cmpb.2019.105151","volume":"185","author":"K Mohammed","year":"2020","unstructured":"Mohammed K et al (2020) Novel technique for reorganisation of opinion order to interval levels for solving several instances representing prioritisation in patients with multiple chronic diseases. Comput Methods Progr Biomed 185:105151","journal-title":"Comput Methods Progr Biomed"},{"key":"5020_CR98","first-page":"3","volume":"2015","author":"L Hongjiu","year":"2015","unstructured":"Hongjiu L, Yanrong H (2015) An evaluating method with combined assigning-weight based on maximizing variance. Sci Program 2015:3","journal-title":"Sci Program"},{"issue":"5","key":"5020_CR99","doi-asserted-by":"crossref","first-page":"1020","DOI":"10.1016\/S1001-0742(06)60032-6","volume":"18","author":"Z-H Zou","year":"2006","unstructured":"Zou Z-H, Yi Y, Sun J-N (2006) Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. J Environ Sci 18(5):1020\u20131023","journal-title":"J Environ Sci"},{"issue":"2","key":"5020_CR100","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/S0377-2217(03)00020-1","volume":"156","author":"S Opricovic","year":"2004","unstructured":"Opricovic S, Tzeng G-H (2004) Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur J Oper Res 156(2):445\u2013455","journal-title":"Eur J Oper Res"},{"issue":"2","key":"5020_CR101","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1016\/j.ejor.2006.01.020","volume":"178","author":"S Opricovic","year":"2007","unstructured":"Opricovic S, Tzeng G-H (2007) Extended VIKOR method in comparison with outranking methods. Eur J Oper Res 178(2):514\u2013529","journal-title":"Eur J Oper Res"},{"key":"5020_CR102","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.psep.2017.01.016","volume":"107","author":"M Mahjouri","year":"2017","unstructured":"Mahjouri M, Ishak MB, Torabian A, Manaf LA, Halimoon N, Ghoddusi J (2017) Optimal selection of iron and steel wastewater treatment technology using integrated multi-criteria decision-making techniques and fuzzy logic. Process Saf Environ Prot 107:54\u201368","journal-title":"Process Saf Environ Prot"},{"issue":"10","key":"5020_CR103","doi-asserted-by":"crossref","first-page":"12160","DOI":"10.1016\/j.eswa.2011.03.027","volume":"38","author":"A Shemshadi","year":"2011","unstructured":"Shemshadi A, Shirazi H, Toreihi M, Tarokh MJ (2011) A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Syst Appl 38(10):12160\u201312167","journal-title":"Expert Syst Appl"},{"issue":"1","key":"5020_CR104","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1007\/s11269-015-1169-6","volume":"30","author":"A Malekian","year":"2016","unstructured":"Malekian A, Azarnivand A (2016) Application of integrated Shannon\u2019s entropy and VIKOR techniques in prioritization of flood risk in the Shemshak watershed, Iran. Water Resour Manag 30(1):409\u2013425","journal-title":"Water Resour Manag"},{"issue":"2","key":"5020_CR105","doi-asserted-by":"crossref","first-page":"269","DOI":"10.5267\/j.dsl.2015.11.001","volume":"5","author":"R Bhuyan","year":"2016","unstructured":"Bhuyan R, Routara B (2016) Optimization the machining parameters by using VIKOR and entropy weight method during EDM process of Al-18% SiCp metal matrix composite. Decis Sci Lett 5(2):269\u2013282","journal-title":"Decis Sci Lett"},{"key":"5020_CR106","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.ssci.2016.10.006","volume":"92","author":"O Mohsen","year":"2017","unstructured":"Mohsen O, Fereshteh N (2017) An extended VIKOR method based on entropy measure for the failure modes risk assessment: a case study of the geothermal power plant (GPP). Saf Sci 92:160\u2013172","journal-title":"Saf Sci"},{"issue":"1","key":"5020_CR107","doi-asserted-by":"crossref","first-page":"37","DOI":"10.3390\/su8010037","volume":"8","author":"A Mardani","year":"2016","unstructured":"Mardani A, Zavadskas EK, Govindan K, Amat Senin A, Jusoh A (2016) VIKOR technique: a systematic review of the state of the art literature on methodologies and applications. Sustainability 8(1):37","journal-title":"Sustainability"},{"issue":"1","key":"5020_CR108","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/S0377-2217(01)00280-6","volume":"142","author":"C-H Cheng","year":"2002","unstructured":"Cheng C-H, Lin Y (2002) Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. Eur J Oper Res 142(1):174\u2013186","journal-title":"Eur J Oper Res"},{"issue":"4","key":"5020_CR109","doi-asserted-by":"crossref","first-page":"2826","DOI":"10.1016\/j.eswa.2007.05.034","volume":"34","author":"H-C Chu","year":"2008","unstructured":"Chu H-C, Hwang G-J (2008) A Delphi-based approach to developing expert systems with the cooperation of multiple experts. Expert Syst Appl 34(4):2826\u20132840","journal-title":"Expert Syst Appl"},{"issue":"4","key":"5020_CR110","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1353\/rhe.1995.0008","volume":"18","author":"JW Murry Jr","year":"1995","unstructured":"Murry JW Jr, Hammons JO (1995) Delphi: a versatile methodology for conducting qualitative research. Rev Higher Educ 18(4):423\u2013436","journal-title":"Rev Higher Educ"},{"key":"5020_CR111","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.sbspro.2013.10.340","volume":"103","author":"RM Bekri","year":"2013","unstructured":"Bekri RM, Ruhizan M, Norazah M, Nur YFA, Ashikin HT (2013) Development of Malaysia skills certificate E-portfolio: a conceptual framework. Proc Soc Behav Sci 103:323\u2013329","journal-title":"Proc Soc Behav Sci"},{"issue":"7","key":"5020_CR112","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1016\/j.fss.2005.10.015","volume":"157","author":"S Bodjanova","year":"2006","unstructured":"Bodjanova S (2006) Median alpha-levels of a fuzzy number. Fuzzy Sets Syst 157(7):879\u2013891","journal-title":"Fuzzy Sets Syst"},{"issue":"3","key":"5020_CR113","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1007\/s10734-009-9299-5","volume":"60","author":"C-W Tang","year":"2010","unstructured":"Tang C-W, Wu C-T (2010) Obtaining a picture of undergraduate education quality: a voice from inside the university. High Educ 60(3):269\u2013286","journal-title":"High Educ"},{"issue":"11","key":"5020_CR114","doi-asserted-by":"publisher","first-page":"3888","DOI":"10.1109\/TIP.2015.2456502","volume":"24","author":"LK Choi","year":"2015","unstructured":"Choi LK, You J, Bovik AC (2015) Referenceless prediction of perceptual fog density and perceptual image defogging. IEEE Trans Image Process 24(11):3888\u20133901. https:\/\/doi.org\/10.1109\/TIP.2015.2456502","journal-title":"IEEE Trans Image Process"},{"issue":"11","key":"5020_CR115","doi-asserted-by":"publisher","first-page":"5187","DOI":"10.1109\/TIP.2016.2598681","volume":"25","author":"B Cai","year":"2016","unstructured":"Cai B, Xu X, Jia K, Qing C, Tao D (2016) DehazeNet: an end-to-end system for single image haze removal. IEEE Trans Image Process 25(11):5187\u20135198. https:\/\/doi.org\/10.1109\/TIP.2016.2598681","journal-title":"IEEE Trans Image Process"},{"key":"5020_CR116","doi-asserted-by":"crossref","unstructured":"Ren W, Liu S, Zhang H, Pan J, Cao X, Yang M-H (2016) Single image dehazing via multi-scale convolutional neural networks. In: European conference on computer vision. Springer, pp 154\u2013169","DOI":"10.1007\/978-3-319-46475-6_10"},{"issue":"4","key":"5020_CR117","doi-asserted-by":"crossref","first-page":"043022","DOI":"10.1117\/1.JEI.27.4.043022","volume":"27","author":"S Salazar-Colores","year":"2018","unstructured":"Salazar-Colores S, Cruz-Aceves I, Ramos-Arreguin J-M (2018) Single image dehazing using a multilayer perceptron. J Electron Imaging 27(4):043022","journal-title":"J Electron Imaging"},{"issue":"11","key":"5020_CR118","doi-asserted-by":"crossref","first-page":"3522","DOI":"10.1109\/TIP.2015.2446191","volume":"24","author":"Q Zhu","year":"2015","unstructured":"Zhu Q, Mai J, Shao L (2015) A fast single image haze removal algorithm using color attenuation prior. IEEE Trans Image Process 24(11):3522\u20133533","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"5020_CR119","first-page":"2822","volume":"3","author":"Y Cho","year":"2018","unstructured":"Cho Y, Jeong J, Kim A (2018) Model-assisted multiband fusion for single image enhancement and applications to robot vision. IEEE Robot Autom Lett 3(4):2822\u20132829","journal-title":"IEEE Robot Autom Lett"},{"key":"5020_CR120","doi-asserted-by":"publisher","unstructured":"He J, Zhang C, Yang R, Zhu K (2016) Convex optimization for fast image dehazing. In: 2016 IEEE international conference on image processing (ICIP), 25\u201328 Sept 2016, pp 2246\u20132250. https:\/\/doi.org\/10.1109\/icip.2016.7532758","DOI":"10.1109\/icip.2016.7532758"},{"key":"5020_CR121","doi-asserted-by":"crossref","unstructured":"Meng G, Wang Y, Duan J, Xiang S, Pan C (2013) Efficient image dehazing with boundary constraint and contextual regularization. In: Proceedings of the IEEE international conference on computer vision, pp 617\u2013624","DOI":"10.1109\/ICCV.2013.82"},{"key":"5020_CR122","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.cviu.2017.08.002","volume":"162","author":"X Liu","year":"2017","unstructured":"Liu X, Zhang H, Cheung Y-M, You X, Tang YY (2017) Efficient single image dehazing and denoising: an efficient multi-scale correlated wavelet approach. Comput Vis Image Underst 162:23\u201333. https:\/\/doi.org\/10.1016\/j.cviu.2017.08.002","journal-title":"Comput Vis Image Underst"},{"key":"5020_CR123","doi-asserted-by":"crossref","unstructured":"Berman D, Avidan S (2016) Non-local image dehazing. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1674\u20131682","DOI":"10.1109\/CVPR.2016.185"},{"issue":"1","key":"5020_CR124","doi-asserted-by":"crossref","first-page":"53","DOI":"10.3390\/e12010053","volume":"12","author":"FH Lotfi","year":"2010","unstructured":"Lotfi FH, Fallahnejad R (2010) Imprecise Shannon\u2019s entropy and multi attribute decision making. Entropy 12(1):53\u201362","journal-title":"Entropy"},{"issue":"5","key":"5020_CR125","doi-asserted-by":"crossref","first-page":"5162","DOI":"10.1016\/j.eswa.2010.10.046","volume":"38","author":"J Wu","year":"2011","unstructured":"Wu J, Sun J, Liang L, Zha Y (2011) Determination of weights for ultimate cross efficiency using Shannon entropy. Expert Syst Appl 38(5):5162\u20135165","journal-title":"Expert Syst Appl"},{"issue":"7","key":"5020_CR126","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1007\/s10916-019-1338-x","volume":"43","author":"M Alsalem","year":"2019","unstructured":"Alsalem M et al (2019) Multiclass benchmarking framework for automated acute Leukaemia detection and classification based on BWM and group-VIKOR. J Med Syst 43(7):212","journal-title":"J Med Syst"},{"issue":"2","key":"5020_CR127","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1109\/TEM.2005.845221","volume":"52","author":"E Triantaphyllou","year":"2005","unstructured":"Triantaphyllou E, Baig K (2005) The impact of aggregating benefit and cost criteria in four MCDA methods. IEEE Trans Eng Manag 52(2):213\u2013226","journal-title":"IEEE Trans Eng Manag"},{"issue":"1","key":"5020_CR128","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1108\/14777260310469319","volume":"17","author":"PM Mullen","year":"2003","unstructured":"Mullen PM (2003) Delphi: myths and reality. J Health Organ Manag 17(1):37\u201352","journal-title":"J Health Organ Manag"},{"issue":"3","key":"5020_CR129","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.csi.2007.08.001","volume":"30","author":"S Bueno","year":"2008","unstructured":"Bueno S, Salmeron JL (2008) Fuzzy modeling enterprise resource planning tool selection. Comput Stand Interfaces 30(3):137\u2013147","journal-title":"Comput Stand Interfaces"},{"issue":"2","key":"5020_CR130","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1080\/01446190500204804","volume":"24","author":"O Manoliadis","year":"2006","unstructured":"Manoliadis O, Tsolas I, Nakou A (2006) Sustainable construction and drivers of change in Greece: a Delphi study. Constr Manag Econ 24(2):113\u2013120","journal-title":"Constr Manag Econ"},{"issue":"9","key":"5020_CR131","first-page":"171","volume":"8","author":"SNA Mohamad","year":"2015","unstructured":"Mohamad SNA, Embi MA, Nordin N (2015) Determining e-Portfolio elements in learning process using fuzzy Delphi analysis. Int Educ Stud 8(9):171\u2013176","journal-title":"Int Educ Stud"},{"issue":"21","key":"5020_CR132","doi-asserted-by":"crossref","first-page":"14172","DOI":"10.1016\/j.ijhydene.2011.05.045","volume":"36","author":"P-L Chang","year":"2011","unstructured":"Chang P-L, Hsu C-W, Chang P-C (2011) Fuzzy Delphi method for evaluating hydrogen production technologies. Int J Hydrog Energy 36(21):14172\u201314179","journal-title":"Int J Hydrog Energy"},{"key":"5020_CR133","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.measurement.2017.07.024","volume":"111","author":"M Qader","year":"2017","unstructured":"Qader M, Zaidan B, Zaidan A, Ali S, Kamaluddin M, Radzi W (2017) A methodology for football players selection problem based on multi-measurements criteria analysis. Measurement 111:38\u201350","journal-title":"Measurement"},{"key":"5020_CR134","doi-asserted-by":"publisher","unstructured":"Wu D, Zhu Q, Wang J, Xie Y, Wang L (2014) Image haze removal: status, challenges and prospects. In: 2014 4th IEEE international conference on information science and technology, 26\u201328 April 2014, pp 492\u2013497. https:\/\/doi.org\/10.1109\/icist.2014.6920524","DOI":"10.1109\/icist.2014.6920524"},{"key":"5020_CR135","doi-asserted-by":"publisher","unstructured":"Duarte A, Codevilla F, Gaya JDO, Botelho SSC (2016) A dataset to evaluate underwater image restoration methods. In: OCEANS 2016\u2014Shanghai, 10\u201313 April 2016, pp 1\u20136. https:\/\/doi.org\/10.1109\/oceansap.2016.7485524","DOI":"10.1109\/oceansap.2016.7485524"},{"key":"5020_CR136","doi-asserted-by":"publisher","unstructured":"Li Y, Wang K, Xu N, Li Y (2017) Quantitative evaluation for dehazing algorithms on synthetic outdoor hazy dataset. In: 2017 IEEE visual communications and image processing (VCIP), 10\u201313 Dec 2017, pp 1\u20134. https:\/\/doi.org\/10.1109\/vcip.2017.8305081","DOI":"10.1109\/vcip.2017.8305081"},{"key":"5020_CR137","doi-asserted-by":"publisher","unstructured":"Yadav G, Maheshwari S, Agarwal A (2014) Fog removal techniques from images: a comparative review and future directions. In: 2014 international conference on signal propagation and computer technology (ICSPCT 2014), 12\u201313 July 2014, pp 44\u201352. https:\/\/doi.org\/10.1109\/icspct.2014.6884973","DOI":"10.1109\/icspct.2014.6884973"},{"key":"5020_CR138","doi-asserted-by":"publisher","unstructured":"Pal T, Bhowmik MK, Bhattacharjee D, Ghosh AK (2016) Visibility enhancement techniques for fog degraded images: a comparative analysis with performance evaluation. In: 2016 IEEE region 10 conference (TENCON), 22\u201325 Nov 2016, pp 2583\u20132588. https:\/\/doi.org\/10.1109\/tencon.2016.7848504","DOI":"10.1109\/tencon.2016.7848504"},{"key":"5020_CR139","doi-asserted-by":"publisher","unstructured":"Roy SD, Bhowmik MK, Saha SS (2017) Qualitative evaluation of visibility enhancement techniques on SAMEER-TU database for security and surveillance. In: 2017 8th international conference on computing, communication and networking technologies (ICCCNT), 3\u20135 July 2017, pp 1\u20137. https:\/\/doi.org\/10.1109\/icccnt.2017.8204002","DOI":"10.1109\/icccnt.2017.8204002"},{"key":"5020_CR140","doi-asserted-by":"publisher","first-page":"5641","DOI":"10.1109\/ACCESS.2018.2794340","volume":"6","author":"W Wang","year":"2018","unstructured":"Wang W, Chang F, Ji T, Wu X (2018) A fast single-image dehazing method based on a physical model and gray projection. IEEE Access 6:5641\u20135653. https:\/\/doi.org\/10.1109\/ACCESS.2018.2794340","journal-title":"IEEE Access"},{"issue":"7","key":"5020_CR141","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1109\/JDT.2016.2518646","volume":"12","author":"BH Chen","year":"2016","unstructured":"Chen BH, Huang SC, Cheng FC (2016) A high-efficiency and high-speed gain intervention refinement filter for haze removal. J Disp Technol 12(7):753\u2013759. https:\/\/doi.org\/10.1109\/JDT.2016.2518646","journal-title":"J Disp Technol"},{"key":"5020_CR142","doi-asserted-by":"publisher","DOI":"10.1109\/access.2018.2806372","author":"T Zhang","year":"2018","unstructured":"Zhang T, Hu HM, Li B (2018) A naturalness preserved fast dehazing algorithm using HSV color space. IEEE Access. https:\/\/doi.org\/10.1109\/access.2018.2806372","journal-title":"IEEE Access"},{"key":"5020_CR143","doi-asserted-by":"crossref","unstructured":"Khodary AG, Aly HA, IEEE (2014) A new image-sequence haze removal system based on DM6446 Davinci processor. In: 2014 IEEE global conference on signal and information processing, pp 703\u2013706","DOI":"10.1109\/GlobalSIP.2014.7032209"},{"key":"5020_CR144","doi-asserted-by":"publisher","unstructured":"El-Hashash MM, Aly HA, Mahmoud TA, Swelam W (2015) A video haze removal system on heterogeneous cores. In: 2015 IEEE global conference on signal and information processing (GlobalSIP), pp 1255\u20131259. https:\/\/doi.org\/10.1109\/globalsip.2015.7418399","DOI":"10.1109\/globalsip.2015.7418399"},{"key":"5020_CR145","doi-asserted-by":"publisher","unstructured":"Changli L, Tanghuai F, Xiao M, Zhen Z, Hongxin W, Lin C (2017) An improved image defogging method based on dark channel prior. In: 2017 2nd international conference on image, vision and computing (ICIVC), 2\u20134 June 2017, pp 414\u2013417. https:\/\/doi.org\/10.1109\/icivc.2017.7984589","DOI":"10.1109\/icivc.2017.7984589"},{"key":"5020_CR146","doi-asserted-by":"publisher","unstructured":"Guo F, Cai Z, Xie B, Tang J (2010) Automatic image haze removal based on luminance component. In: 2010 6th International conference on wireless communications networking and mobile computing (WiCOM), 23\u201325 Sept 2010, pp 1\u20134. https:\/\/doi.org\/10.1109\/wicom.2010.5600632","DOI":"10.1109\/wicom.2010.5600632"},{"key":"5020_CR147","doi-asserted-by":"publisher","unstructured":"Mai J, Zhu Q, Wu D, Xie Y, Wang (2014) Back propagation neural network dehazing. In: 2014 IEEE international conference on robotics and biomimetics (ROBIO 2014), 5\u201310 Dec, pp 1433\u20131438. https:\/\/doi.org\/10.1109\/robio.2014.7090535","DOI":"10.1109\/robio.2014.7090535"},{"key":"5020_CR148","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jvcir.2017.11.005","volume":"50","author":"D Nair","year":"2018","unstructured":"Nair D, Sankaran P (2018) Color image dehazing using surround filter and dark channel prior. J Vis Commun Image Represent 50:9\u201315","journal-title":"J Vis Commun Image Represent"},{"key":"5020_CR149","doi-asserted-by":"publisher","unstructured":"Yadav G, Maheshwari S, Agarwal A (2014) Contrast limited adaptive histogram equalization based enhancement for real time video system. In: 2014 International conference on advances in computing, communications and informatics (ICACCI), 24\u201327 Sept 2014, pp 2392\u20132397. https:\/\/doi.org\/10.1109\/icacci.2014.6968381","DOI":"10.1109\/icacci.2014.6968381"},{"key":"5020_CR150","doi-asserted-by":"publisher","unstructured":"Roy K, Kumar S, Banerjee S, Sarkar TS, Chaudhuri SS (2017) Dehazing technique for natural scene image based on color analysis and restoration with road edge detection. In: 2017 1st International conference on electronics, materials engineering and nano-technology (IEMENTech), 28\u201329 April 2017, pp 1\u20136. https:\/\/doi.org\/10.1109\/iementech.2017.8076989","DOI":"10.1109\/iementech.2017.8076989"},{"key":"5020_CR151","doi-asserted-by":"publisher","unstructured":"Ancuti CO, Ancuti C, Bekaert P (2010) Effective single image dehazing by fusion. In: 2010 IEEE international conference on image processing, 26\u201329 Sept 2010, pp 3541\u20133544. https:\/\/doi.org\/10.1109\/icip.2010.5651263","DOI":"10.1109\/icip.2010.5651263"},{"key":"5020_CR152","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1016\/j.cag.2017.07.016","volume":"70","author":"B Liao","year":"2018","unstructured":"Liao B, Yin P, Xiao C (2018) Efficient image dehazing using boundary conditions and local contrast. Comput Graph\u00a070:242\u2013250. https:\/\/doi.org\/10.1016\/j.cag.2017.07.016","journal-title":"Comput Graph"},{"issue":"4","key":"5020_CR153","doi-asserted-by":"publisher","first-page":"2257","DOI":"10.1109\/TITS.2015.2405013","volume":"16","author":"M Negru","year":"2015","unstructured":"Negru M, Nedevschi S, Peter RI (2015) Exponential contrast restoration in fog conditions for driving assistance. IEEE Trans Intell Transp Syst 16(4):2257\u20132268. https:\/\/doi.org\/10.1109\/TITS.2015.2405013","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"5020_CR154","doi-asserted-by":"publisher","unstructured":"Negru M, Nedevschi S, Peter RI (2014) Exponential image enhancement in daytime fog conditions. In: 17th International IEEE conference on intelligent transportation systems (ITSC), 8\u201311 Oct 2014, pp 1675\u20131681. https:\/\/doi.org\/10.1109\/itsc.2014.6957934","DOI":"10.1109\/itsc.2014.6957934"},{"key":"5020_CR155","doi-asserted-by":"publisher","unstructured":"Kumari A, Kodati H, Sahoo SK (2015) Fast and efficient contrast enhancement for real time video dehazing and defogging. In: 2015 IEEE workshop on computational intelligence: theories, applications and future directions (WCI), 14\u201317 Dec 2015, 14\u201317 Dec 2015, pp 1\u20135. https:\/\/doi.org\/10.1109\/wci.2015.7495527","DOI":"10.1109\/wci.2015.7495527"},{"key":"5020_CR156","doi-asserted-by":"publisher","unstructured":"Qian X, Han L (2014) Fast image dehazing algorithm based on multiple filters. In: 2014 10th international conference on natural computation (ICNC), 19\u201321 Aug 2014, pp 937\u20130941. https:\/\/doi.org\/10.1109\/icnc.2014.6975965","DOI":"10.1109\/icnc.2014.6975965"},{"issue":"6","key":"5020_CR157","doi-asserted-by":"publisher","first-page":"1142","DOI":"10.1109\/TMM.2017.2652069","volume":"19","author":"W Wang","year":"2017","unstructured":"Wang W, Yuan X, Wu X, Liu Y (2017) Fast image dehazing method based on linear transformation. IEEE Trans Multimed 19(6):1142\u20131155. https:\/\/doi.org\/10.1109\/TMM.2017.2652069","journal-title":"IEEE Trans Multimed"},{"key":"5020_CR158","doi-asserted-by":"publisher","unstructured":"Zhang X, Bu Z, Chen H, Liu M (2015) Fast image dehazing using joint Local Linear sure-based filter and image fusion. In 2015 5th international conference on information science and technology (ICIST), 24\u201326 Apr 2015, pp 192\u2013197. https:\/\/doi.org\/10.1109\/icist.2015.7288966","DOI":"10.1109\/icist.2015.7288966"},{"key":"5020_CR159","doi-asserted-by":"publisher","unstructured":"Zhu X, Li Y, Qiao Y (2015) Fast single image dehazing through Edge-Guided Interpolated Filter. In: 2015 14th IAPR international conference on machine vision applications (MVA), 18\u201322 May 2015, pp 443\u2013446. https:\/\/doi.org\/10.1109\/mva.2015.7153106","DOI":"10.1109\/mva.2015.7153106"},{"issue":"3","key":"5020_CR160","doi-asserted-by":"publisher","first-page":"1188","DOI":"10.1109\/tvlsi.2016.2622404","volume":"25","author":"B Zhang","year":"2017","unstructured":"Zhang B, Zhao J (2017) Hardware implementation for real-time haze removal. IEEE Trans Very Large Scale Integr VLSI Syst 25(3):1188\u20131192. https:\/\/doi.org\/10.1109\/tvlsi.2016.2622404","journal-title":"IEEE Trans Very Large Scale Integr VLSI Syst"},{"issue":"1","key":"5020_CR161","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1049\/iet-ipr.2017.0060","volume":"12","author":"X Zhao","year":"2018","unstructured":"Zhao X, Ding W, Liu C, Li H (2018) Haze removal for unmanned aerial vehicle aerial video based on spatial-temporal coherence optimisation. IET Image Proc 12(1):88\u201397. https:\/\/doi.org\/10.1049\/iet-ipr.2017.0060","journal-title":"IET Image Proc"},{"key":"5020_CR162","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/j.compeleceng.2016.11.021","volume":"62","author":"S Liu","year":"2017","unstructured":"Liu S et al (2017) Image de-hazing from the perspective of noise filtering. Comput Electr Eng 62:345\u2013359. https:\/\/doi.org\/10.1016\/j.compeleceng.2016.11.021","journal-title":"Comput Electr Eng"},{"key":"5020_CR163","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2017.09.018","author":"C Huang","year":"2017","unstructured":"Huang C, Yang D, Zhang R, Wang L, Zhou L (2017) Improved algorithm for image haze removal based on dark channel priority. Comput Electr Eng. https:\/\/doi.org\/10.1016\/j.compeleceng.2017.09.018","journal-title":"Comput Electr Eng"},{"key":"5020_CR164","doi-asserted-by":"publisher","unstructured":"Xie B, Guo F, Cai Z (2010) Improved Single Image Dehazing Using Dark Channel Prior and Multi-scale Retinex. In 2010 international conference on intelligent system design and engineering application, 13\u201314 Oct 2010, vol 1, pp 848\u2013851. https:\/\/doi.org\/10.1109\/isdea.2010.141","DOI":"10.1109\/isdea.2010.141"},{"key":"5020_CR165","doi-asserted-by":"publisher","unstructured":"Zhi W, Watabe D, Jianting C (2016) Improving visibility of a fast dehazing method. In 2016 world automation congress (WAC), July 31 2016\u2013Aug 4 2016, pp 1-6. https:\/\/doi.org\/10.1109\/wac.2016.7582960","DOI":"10.1109\/wac.2016.7582960"},{"key":"5020_CR166","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.neucom.2016.09.139","volume":"269","author":"H Liu","year":"2017","unstructured":"Liu H, Huang D, Hou S, Yue R (2017) Large size single image fast defogging and the real time video defogging FPGA architecture. Neurocomputing 269:97\u2013107. https:\/\/doi.org\/10.1016\/j.neucom.2016.09.139","journal-title":"Neurocomputing"},{"issue":"2","key":"5020_CR167","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1109\/TITS.2010.2046165","volume":"11","author":"N Hautiere","year":"2010","unstructured":"Hautiere N, Tarel JP, Aubert D (2010) Mitigation of visibility loss for advanced camera-based driver assistance. IEEE Trans Intell Transp Syst 11(2):474\u2013484. https:\/\/doi.org\/10.1109\/TITS.2010.2046165","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"5020_CR168","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1016\/j.procs.2015.06.057","volume":"54","author":"A Kumari","year":"2015","unstructured":"Kumari A, Sahoo SK (2015) Real time visibility enhancement for single image haze removal. Procedia Comput Sci 54:501\u2013507. https:\/\/doi.org\/10.1016\/j.procs.2015.06.057","journal-title":"Procedia Comput Sci"},{"key":"5020_CR169","doi-asserted-by":"publisher","unstructured":"Zhang J, Ding Y, Yang Y, Sun J (2016) Real-time defog model based on visible and near-infrared information. In: 2016 IEEE international conference on multimedia & expo workshops (ICMEW), 11\u201315 July 2016, pp 1\u20136. https:\/\/doi.org\/10.1109\/icmew.2016.7574749","DOI":"10.1109\/icmew.2016.7574749"},{"key":"5020_CR170","doi-asserted-by":"publisher","unstructured":"Ji X, Feng Y, Liu G, Dai M, Yin C (2010) Real-time defogging processing of aerial images. In: 2010 6th international conference on wireless communications networking and mobile computing (WiCOM), 23\u201325 Sept 2010, pp 1\u20134. https:\/\/doi.org\/10.1109\/wicom.2010.5600245","DOI":"10.1109\/wicom.2010.5600245"},{"key":"5020_CR171","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.ins.2018.01.009","volume":"436\u2013437","author":"A Alajarmeh","year":"2018","unstructured":"Alajarmeh A, Salam RA, Abdulrahim K, Marhusin MF, Zaidan AA, Zaidan BB (2018) Real-time framework for image dehazing based on linear transmission and constant-time airlight estimation. Inf Sci 436\u2013437:108\u2013130. https:\/\/doi.org\/10.1016\/j.ins.2018.01.009","journal-title":"Inf Sci"},{"issue":"9","key":"5020_CR172","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1049\/iet-ipr.2015.0087","volume":"9","author":"T Yu","year":"2015","unstructured":"Yu T, Riaz I, Piao J, Shin H (2015) Real-time single image dehazing using block-to-pixel interpolation and adaptive dark channel prior. IET Image Proc 9(9):725\u2013734. https:\/\/doi.org\/10.1049\/iet-ipr.2015.0087","journal-title":"IET Image Proc"},{"issue":"11","key":"5020_CR173","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1049\/iet-ipr.2016.0138","volume":"10","author":"X Liu","year":"2016","unstructured":"Liu X, Zhang H, Tang YY, Du JX (2016) Scene-adaptive single image dehazing via opening dark channel model. IET Image Proc 10(11):877\u2013884. https:\/\/doi.org\/10.1049\/iet-ipr.2016.0138","journal-title":"IET Image Proc"},{"key":"5020_CR174","doi-asserted-by":"publisher","unstructured":"Liu X, Zeng F, Huang Z, Ji Y (2013) Single color image dehazing based on digital total variation filter with color transfer. In: 2013 IEEE international conference on image processing, 15\u201318 Sept 2013, pp 909\u2013913. https:\/\/doi.org\/10.1109\/icip.2013.6738188","DOI":"10.1109\/icip.2013.6738188"},{"key":"5020_CR175","doi-asserted-by":"publisher","unstructured":"Huang D, Chen K, Lu, J, Wang W (2017) Single image dehazing based on deep neural network. In: 2017 international conference on computer network, electronic and automation (ICCNEA), 23\u201325 Sept 2017, pp 294\u2013299. https:\/\/doi.org\/10.1109\/iccnea.2017.107","DOI":"10.1109\/iccnea.2017.107"},{"issue":"8","key":"5020_CR176","doi-asserted-by":"publisher","first-page":"3271","DOI":"10.1109\/TIP.2013.2262284","volume":"22","author":"CO Ancuti","year":"2013","unstructured":"Ancuti CO, Ancuti C (2013) Single image Dehazing by multi-scale fusion. IEEE Trans Image Process 22(8):3271\u20133282. https:\/\/doi.org\/10.1109\/TIP.2013.2262284","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"5020_CR177","doi-asserted-by":"publisher","first-page":"999","DOI":"10.1109\/TIP.2017.2771158","volume":"27","author":"TM Bui","year":"2018","unstructured":"Bui TM, Kim W (2018) Single image dehazing using color ellipsoid prior. IEEE Trans Image Process 27(2):999\u20131009. https:\/\/doi.org\/10.1109\/TIP.2017.2771158","journal-title":"IEEE Trans Image Process"},{"issue":"Part A","key":"5020_CR178","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.jvcir.2016.06.011","volume":"40","author":"I Riaz","year":"2016","unstructured":"Riaz I, Yu T, Rehman Y, Shin H (2016) Single image dehazing via reliability guided fusion. J Vis Commun Image Represent 40(Part A):85\u201397. https:\/\/doi.org\/10.1016\/j.jvcir.2016.06.011","journal-title":"J Vis Commun Image Represent"},{"issue":"2","key":"5020_CR179","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1109\/JAS.2015.7081655","volume":"2","author":"H Zhao","year":"2015","unstructured":"Zhao H, Xiao C, Yu J, Xu X (2015) Single image fog removal based on local extrema. IEEE\/CAA J Autom Sin 2(2):158\u2013165. https:\/\/doi.org\/10.1109\/JAS.2015.7081655","journal-title":"IEEE\/CAA J Autom Sin"},{"issue":"7","key":"5020_CR180","doi-asserted-by":"publisher","first-page":"966","DOI":"10.1049\/iet-ipr.2011.0472","volume":"6","author":"AK Tripathi","year":"2012","unstructured":"Tripathi AK, Mukhopadhyay S (2012) Single image fog removal using anisotropic diffusion. IET Image Proc 6(7):966\u2013975. https:\/\/doi.org\/10.1049\/iet-ipr.2011.0472","journal-title":"IET Image Proc"},{"key":"5020_CR181","doi-asserted-by":"publisher","unstructured":"Gao Z, Bai Y (2016) Single image haze removal algorithm using pixel-based airlight constraints. In: 2016 22nd international conference on automation and computing (ICAC), 7\u20138 Sept 2016, pp 267\u2013272. https:\/\/doi.org\/10.1109\/iconac.2016.7604930","DOI":"10.1109\/iconac.2016.7604930"},{"issue":"1","key":"5020_CR182","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.compeleceng.2013.10.016","volume":"40","author":"S Serikawa","year":"2014","unstructured":"Serikawa S, Lu H (2014) Underwater image dehazing using joint trilateral filter. Comput Electr Eng 40(1):41\u201350. https:\/\/doi.org\/10.1016\/j.compeleceng.2013.10.016","journal-title":"Comput Electr Eng"},{"key":"5020_CR183","doi-asserted-by":"publisher","unstructured":"Xie B, Guo F, Cai ZX (2012) Universal strategy for surveillance video defogging. Opti Eng 51(10), Art no. 101703. https:\/\/doi.org\/10.1117\/1.oe.51.10.101703","DOI":"10.1117\/1.oe.51.10.101703"},{"issue":"99","key":"5020_CR184","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/tcsvt.2017.2777140","volume":"PP","author":"YH Shiau","year":"2017","unstructured":"Shiau YH, Kuo YT, Chen PY, Hsu FY (2017) VLSI design of an efficient flicker-free video defogging method for real-time applications. IEEE Trans Circuits Syst Video Technol PP(99):1. https:\/\/doi.org\/10.1109\/tcsvt.2017.2777140","journal-title":"IEEE Trans Circuits Syst Video Technol"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05020-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-020-05020-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05020-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T23:44:29Z","timestamp":1621986269000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-020-05020-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,26]]},"references-count":184,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,2]]}},"alternative-id":["5020"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-05020-4","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,26]]},"assertion":[{"value":"20 August 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 May 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 May 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}