{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T07:01:11Z","timestamp":1760598071978},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T00:00:00Z","timestamp":1624233600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T00:00:00Z","timestamp":1624233600000},"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":["Appl Intell"],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1007\/s10489-021-02482-4","type":"journal-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T17:02:43Z","timestamp":1624294963000},"page":"2720-2744","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Intelligent wavelet fuzzy brain emotional controller using dual function-link network for uncertain nonlinear control systems"],"prefix":"10.1007","volume":"52","author":[{"given":"Tuan-Tu","family":"Huynh","sequence":"first","affiliation":[]},{"given":"Chih-Min","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Nguyen-Quoc-Khanh","family":"Le","sequence":"additional","affiliation":[]},{"given":"Mai The","family":"Vu","sequence":"additional","affiliation":[]},{"given":"Ngoc Phi","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Fei","family":"Chao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,6,21]]},"reference":[{"issue":"12","key":"2482_CR1","doi-asserted-by":"publisher","first-page":"4342","DOI":"10.1007\/s10489-020-01796-z","volume":"50","author":"W Yang","year":"2020","unstructured":"Yang W, Jhang ST, Shi SG, Xu ZS, Ma ZM (2020) A novel additive consistency for intuitionistic fuzzy preference relations in group decision making. Appl Intell 50(12):4342\u20134356","journal-title":"Appl Intell"},{"issue":"1","key":"2482_CR2","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1007\/s10489-017-0962-8","volume":"48","author":"N Tak","year":"2018","unstructured":"Tak N, Evren AA, Tez M, Egrioglu E (2018) Recurrent type-1 fuzzy functions approach for time series forecasting. Appl Intell 48(1):68\u201377","journal-title":"Appl Intell"},{"issue":"8","key":"2482_CR3","doi-asserted-by":"publisher","first-page":"4025","DOI":"10.1007\/s00521-018-3795-4","volume":"32","author":"T-T Huynh","year":"2020","unstructured":"Huynh T-T, Le T-L, Lin C-M (2020) A TOPSIS multi-criteria decision method-based intelligent recurrent wavelet CMAC control system design for MIMO uncertain nonlinear systems. Neural Comput & Applic 32(8):4025\u20134043","journal-title":"Neural Comput & Applic"},{"key":"2482_CR4","doi-asserted-by":"crossref","unstructured":"Huynh T-T, Lin C-M, Le T-L, Zhong Z A (2020) mixed gaussian membership function fuzzy cmac for a three-link robot. In: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE),. IEEE, pp 1\u20137","DOI":"10.1109\/FUZZ48607.2020.9177761"},{"issue":"1","key":"2482_CR5","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/s10489-019-01614-1","volume":"51","author":"J Qiao","year":"2021","unstructured":"Qiao J, Wang L (2021) Nonlinear system modeling and application based on restricted Boltzmann machine and improved BP neural network. Appl Intell 51(1):37\u201350","journal-title":"Appl Intell"},{"issue":"2","key":"2482_CR6","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1007\/s40815-018-0550-z","volume":"21","author":"T-T Huynh","year":"2018","unstructured":"Huynh T-T, Le T-L, Lin C-M (2018) Self-organizing recurrent wavelet fuzzy neural network-based control system design for mimo uncertain nonlinear systems using topsis method. Int J Fuzzy Syst 21(2):468\u2013487","journal-title":"Int J Fuzzy Syst"},{"issue":"1","key":"2482_CR7","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1080\/10798587.2004.10642862","volume":"10","author":"C Lucas","year":"2004","unstructured":"Lucas C, Shahmirzadi D, Sheikholeslami N (2004) Introducing BELBIC: brain emotional learning based intelligent controller. Intell Automation Soft Computing 10(1):11\u201321","journal-title":"Intell Automation Soft Computing"},{"key":"2482_CR8","doi-asserted-by":"publisher","unstructured":"Huynh T-T, Lin C-M, Le T-L, Le N-Q-K VV-P, Chao F (2020) Self-organizing double function-link fuzzy brain emotional control system design for uncertain nonlinear systems. IEEE Trans Syst, Man, Cybernetics: Syst:1\u201317. https:\/\/doi.org\/10.1109\/TSMC.2020.3036404","DOI":"10.1109\/TSMC.2020.3036404"},{"issue":"11","key":"2482_CR9","doi-asserted-by":"publisher","first-page":"8589","DOI":"10.1109\/TIE.2019.2891409","volume":"66","author":"Y Sun","year":"2019","unstructured":"Sun Y, Xu J, Qiang H, Lin G (2019) Adaptive neural-fuzzy robust position control scheme for maglev train systems with experimental verification. IEEE Trans Ind Electron 66(11):8589\u20138599","journal-title":"IEEE Trans Ind Electron"},{"issue":"10","key":"2482_CR10","doi-asserted-by":"publisher","first-page":"8104","DOI":"10.1109\/TIE.2018.2884195","volume":"66","author":"Q Lin","year":"2018","unstructured":"Lin Q, Chen S, Lin C (2018) Parametric fault diagnosis based on fuzzy cerebellar model neural networks. IEEE Trans Indust Electr 66(10):8104\u20138115","journal-title":"IEEE Trans Indust Electr"},{"issue":"1","key":"2482_CR11","first-page":"16","volume":"5","author":"M Nighot","year":"2018","unstructured":"Nighot M, Ghatol A, Thakare V (2018) Self-organized hybrid wireless sensor network for finding randomly moving target in unknown environment. Int J Interact Mult Artif Intell 5(1):16\u201328","journal-title":"Int J Interact Mult Artif Intell"},{"key":"2482_CR12","first-page":"169","volume":"2","author":"J LeDoux","year":"1991","unstructured":"LeDoux J (1991) Emotion and the limbic system concept. Concepts Neurosci 2:169\u2013199","journal-title":"Concepts Neurosci"},{"issue":"3","key":"2482_CR13","doi-asserted-by":"publisher","first-page":"911","DOI":"10.1016\/j.eswa.2006.01.047","volume":"32","author":"H Rouhani","year":"2007","unstructured":"Rouhani H, Jalili M, Araabi BN, Eppler W, Lucas C (2007) Brain emotional learning based intelligent controller applied to neurofuzzy model of micro-heat exchanger. Expert Syst Appl 32(3):911\u2013918","journal-title":"Expert Syst Appl"},{"key":"2482_CR14","doi-asserted-by":"crossref","unstructured":"Hsu C-F, Su C-T, Lee T-T Chaos synchronization using brain-emotional-learning-based fuzzy control. In: 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016. IEEE, pp 811\u2013816","DOI":"10.1109\/SCIS-ISIS.2016.0175"},{"key":"2482_CR15","doi-asserted-by":"crossref","unstructured":"Zhao J, Lin C-M, Chao F (2018) Wavelet fuzzy brain emotional learning control system design for mimo uncertain nonlinear systems. Front Neurosci 12","DOI":"10.3389\/fnins.2018.00918"},{"issue":"2","key":"2482_CR16","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/s40815-015-0020-9","volume":"17","author":"C-M Lin","year":"2015","unstructured":"Lin C-M, Chung C-C (2015) Fuzzy brain emotional learning control system design for nonlinear systems. International Journal of Fuzzy Systems 17(2):117\u2013128","journal-title":"International Journal of Fuzzy Systems"},{"issue":"3","key":"2482_CR17","first-page":"131","volume":"5","author":"R Ayachi","year":"2018","unstructured":"Ayachi R, Bouhani H, Amor NB (2018) An evolutionary approach for learning opponent's deadline and reserve points in multi-issue negotiation. Int J Inter Multimedia Artif Intell 5(3):131\u2013140","journal-title":"Int J Inter Multimedia Artif Intell"},{"key":"2482_CR18","doi-asserted-by":"publisher","first-page":"1037","DOI":"10.1109\/ACCESS.2016.2637381","volume":"5","author":"HS Milad","year":"2016","unstructured":"Milad HS, Farooq U, El-Hawary ME, Asad MU (2016) Neo-fuzzy integrated adaptive decayed brain emotional learning network for online time series prediction. IEEE Access 5:1037\u20131049","journal-title":"IEEE Access"},{"issue":"3","key":"2482_CR19","doi-asserted-by":"publisher","first-page":"942","DOI":"10.1007\/s40815-016-0216-7","volume":"19","author":"C-F Hsu","year":"2017","unstructured":"Hsu C-F, Lee T-T (2017) Emotional fuzzy sliding-mode control for unknown nonlinear systems. Int J Fuzzy Syst 19(3):942\u2013953","journal-title":"Int J Fuzzy Syst"},{"key":"2482_CR20","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1016\/j.asoc.2018.08.022","volume":"73","author":"T-L Le","year":"2018","unstructured":"Le T-L, Lin C-M, Huynh T-T (2018) Self-evolving type-2 fuzzy brain emotional learning control design for chaotic systems using PSO. Appl Soft Comput 73:418\u2013433","journal-title":"Appl Soft Comput"},{"issue":"12","key":"2482_CR21","doi-asserted-by":"publisher","first-page":"8725","DOI":"10.1007\/s00521-019-04366-8","volume":"32","author":"T-L Le","year":"2020","unstructured":"Le T-L, Huynh T-T, Lin C-M (2020) Adaptive filter design for active noise cancellation using recurrent type-2 fuzzy brain emotional learning neural network. Neural Comput & Applic 32(12):8725\u20138734","journal-title":"Neural Comput & Applic"},{"issue":"8","key":"2482_CR22","doi-asserted-by":"publisher","first-page":"2546","DOI":"10.1007\/s40815-020-00941-7","volume":"22","author":"T-T Huynh","year":"2020","unstructured":"Huynh T-T, Lin C-M, Le T-L, Nguyen NP, Hong S-K, Chao F (2020) Wavelet interval type-2 fuzzy quad-function-link brain emotional control algorithm for the synchronization of 3d nonlinear chaotic systems. Int J Fuzzy Syst 22(8):2546\u20132564","journal-title":"Int J Fuzzy Syst"},{"issue":"2","key":"2482_CR23","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1109\/TNN.2002.806950","volume":"14","author":"C-M Lin","year":"2003","unstructured":"Lin C-M, Hsu C-F (2003) Neural-network hybrid control for antilock braking systems. IEEE Trans Neural Netw 14(2):351\u2013359","journal-title":"IEEE Trans Neural Netw"},{"issue":"5","key":"2482_CR24","doi-asserted-by":"publisher","first-page":"1746","DOI":"10.1109\/TIE.2008.2009439","volume":"56","author":"W-Y Wang","year":"2009","unstructured":"Wang W-Y, Li I-H, Chen M-C, Su S-F, Hsu S-B (2009) Dynamic slip-ratio estimation and control of antilock braking systems using an observer-based direct adaptive fuzzy\u2013neural controller. IEEE Trans Ind Electron 56(5):1746\u20131756","journal-title":"IEEE Trans Ind Electron"},{"issue":"6","key":"2482_CR25","doi-asserted-by":"publisher","first-page":"1044","DOI":"10.1109\/TFUZZ.2013.2241769","volume":"21","author":"C-M Lin","year":"2013","unstructured":"Lin C-M, Li H-Y (2013) Intelligent hybrid control system design for antilock braking systems using self-organizing function-link fuzzy cerebellar model articulation controller. IEEE Trans Fuzzy Syst 21(6):1044\u20131055","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"2482_CR26","doi-asserted-by":"publisher","first-page":"993","DOI":"10.1007\/s11071-014-1357-6","volume":"77","author":"C-F Hsu","year":"2014","unstructured":"Hsu C-F, Kuo T-C (2014) Adaptive exponential-reaching sliding-mode control for antilock braking systems. Nonlinear Dyn 77(3):993\u20131010","journal-title":"Nonlinear Dyn"},{"issue":"6","key":"2482_CR27","doi-asserted-by":"publisher","first-page":"1463","DOI":"10.1007\/s00521-015-1946-4","volume":"27","author":"C-F Hsu","year":"2016","unstructured":"Hsu C-F (2016) Intelligent exponential sliding-mode control with uncertainty estimator for antilock braking systems. Neural Comput & Applic 27(6):1463\u20131475","journal-title":"Neural Comput & Applic"},{"issue":"5","key":"2482_CR28","doi-asserted-by":"publisher","first-page":"1362","DOI":"10.1007\/s40815-017-0301-6","volume":"19","author":"C-M Lin","year":"2017","unstructured":"Lin C-M, Le T-L (2017) PSO-self-organizing interval type-2 fuzzy neural network for antilock braking systems. Int J Fuzzy Syst 19(5):1362\u20131374","journal-title":"Int J Fuzzy Syst"},{"issue":"6","key":"2482_CR29","doi-asserted-by":"publisher","first-page":"4577","DOI":"10.1109\/TIE.2018.2864719","volume":"66","author":"W Sun","year":"2019","unstructured":"Sun W, Zhang J, Liu Z (2019) Two-time-scale redesign for antilock braking systems of ground vehicles. IEEE Trans Ind Electron 66(6):4577\u20134586","journal-title":"IEEE Trans Ind Electron"},{"key":"2482_CR30","doi-asserted-by":"publisher","first-page":"31624","DOI":"10.1109\/ACCESS.2019.2898108","volume":"7","author":"M Zhai","year":"2019","unstructured":"Zhai M, Long Z, Li X (2019) Fault-tolerant control of magnetic levitation system based on state observer in high speed maglev train. IEEE Access 7:31624\u201331633","journal-title":"IEEE Access"},{"issue":"6","key":"2482_CR31","doi-asserted-by":"publisher","first-page":"720","DOI":"10.1049\/iet-epa.2018.5674","volume":"13","author":"R Safaeian","year":"2019","unstructured":"Safaeian R, Heydari H (2019) Optimal design of a compact passive magnetic bearing based on dynamic modelling. IET Electr Power Appl 13(6):720\u2013729","journal-title":"IET Electr Power Appl"},{"key":"2482_CR32","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.mechatronics.2019.06.005","volume":"61","author":"MA Beijen","year":"2019","unstructured":"Beijen MA, Heertjes MF, Butler H, Steinbuch M (2019) Mixed feedback and feedforward control design for multi-axis vibration isolation systems. Mechatronics 61:106\u2013116","journal-title":"Mechatronics"},{"key":"2482_CR33","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.ijleo.2019.03.039","volume":"185","author":"Z Wu","year":"2019","unstructured":"Wu Z, Wang X, Jiao Y, Zhu Y, Zhou J (2019) Guidance performance evaluation method for infrared imaging guided missile based on extended object-oriented petri net. Optik 185:88\u201396","journal-title":"Optik"},{"issue":"9","key":"2482_CR34","doi-asserted-by":"publisher","first-page":"5971","DOI":"10.1109\/TIE.2015.2434791","volume":"62","author":"Y Zhang","year":"2015","unstructured":"Zhang Y, Xian B, Ma S (2015) Continuous robust tracking control for magnetic levitation system with unidirectional input constraint. IEEE Trans Ind Electron 62(9):5971\u20135980","journal-title":"IEEE Trans Ind Electron"},{"key":"2482_CR35","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.neucom.2016.09.101","volume":"227","author":"RJ de Jes\u00fas","year":"2017","unstructured":"de Jes\u00fas RJ, Zhang L, Lughofer E, Cruz P, Alsaedi A, Hayat T (2017) Modeling and control with neural networks for a magnetic levitation system. Neurocomputing 227:113\u2013121","journal-title":"Neurocomputing"},{"key":"2482_CR36","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.asoc.2017.02.032","volume":"56","author":"U Sadek","year":"2017","unstructured":"Sadek U, Sarja\u0161 A, Chowdhury A, Sve\u010dko R (2017) Improved adaptive fuzzy backstepping control of a magnetic levitation system based on symbiotic organism search. Appl Soft Comput 56:19\u201333","journal-title":"Appl Soft Comput"},{"issue":"3","key":"2482_CR37","doi-asserted-by":"publisher","first-page":"2465","DOI":"10.3233\/JIFS-171523","volume":"36","author":"C-M Lin","year":"2019","unstructured":"Lin C-M, Huynh T-T (2019) Dynamic TOPSIS fuzzy cerebellar model articulation controller for magnetic levitation system. J Intell Fuzzy Syst 36(3):2465\u20132480","journal-title":"J Intell Fuzzy Syst"},{"key":"2482_CR38","first-page":"76","volume":"76","author":"OAM Ali","year":"2015","unstructured":"Ali OAM, Ali AY, Sumait BS (2015) Comparison between the effects of different types of membership functions on fuzzy logic controller performance. Int J 76:76\u201383","journal-title":"Int J"},{"key":"2482_CR39","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.fss.2015.07.001","volume":"286","author":"A Bigand","year":"2016","unstructured":"Bigand A, Colot O (2016) Membership function construction for interval-valued fuzzy sets with application to Gaussian noise reduction. Fuzzy Sets Syst 286:66\u201385","journal-title":"Fuzzy Sets Syst"},{"key":"2482_CR40","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1016\/j.fss.2018.10.014","volume":"374","author":"N Rong","year":"2018","unstructured":"Rong N, Wang Z, Ding S, Zhang H (2018) Interval type-2 regional switching T\u2013S fuzzy control for time-delay systems via membership function dependent approach. Fuzzy Sets Syst 374:152\u2013169","journal-title":"Fuzzy Sets Syst"},{"issue":"14\u201315","key":"2482_CR41","doi-asserted-by":"publisher","first-page":"2627","DOI":"10.1016\/S1352-2310(97)00447-0","volume":"32","author":"MW Gardner","year":"1998","unstructured":"Gardner MW, Dorling S (1998) Artificial neural networks (the multilayer perceptron)\u2014a review of applications in the atmospheric sciences. Atmos Environ 32(14\u201315):2627\u20132636","journal-title":"Atmos Environ"},{"issue":"1","key":"2482_CR42","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/S0169-7439(97)00061-0","volume":"39","author":"D Svozil","year":"1997","unstructured":"Svozil D, Kvasnicka V, Pospichal J (1997) Introduction to multi-layer feed-forward neural networks. Chemom Intell Lab Syst 39(1):43\u201362","journal-title":"Chemom Intell Lab Syst"},{"issue":"2","key":"2482_CR43","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/0165-1684(94)00152-P","volume":"43","author":"JC Patra","year":"1995","unstructured":"Patra JC, Pal RN (1995) A functional link artificial neural network for adaptive channel equalization. Signal Process 43(2):181\u2013195","journal-title":"Signal Process"},{"issue":"2","key":"2482_CR44","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1007\/s40815-017-0326-x","volume":"20","author":"Q Zhou","year":"2018","unstructured":"Zhou Q, Chao F, Lin C-M (2018) A functional-link-based fuzzy brain emotional learning network for breast tumor classification and chaotic system synchronization. Int J Fuzzy Syst 20(2):349\u2013365","journal-title":"Int J Fuzzy Syst"},{"issue":"6","key":"2482_CR45","doi-asserted-by":"publisher","first-page":"1839","DOI":"10.1007\/s40815-018-0482-7","volume":"20","author":"C-M Lin","year":"2018","unstructured":"Lin C-M, Huynh T-T (2018) Function-link fuzzy cerebellar model articulation controller design for nonlinear chaotic systems using topsis multiple attribute decision-making method. Int J Fuzzy Syst 20(6):1839\u20131856","journal-title":"Int J Fuzzy Syst"},{"key":"2482_CR46","doi-asserted-by":"crossref","unstructured":"Huynh TT, Lin CM Wavelet dual function-link fuzzy brain emotional learning system design for system identification and trajectory tracking of nonlinear systems. In: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 6\u20139 Oct. 2019 2019. pp 1653\u20131657","DOI":"10.1109\/SMC.2019.8914480"},{"issue":"6","key":"2482_CR47","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1109\/TFUZZ.2012.2191789","volume":"20","author":"C-M Lin","year":"2012","unstructured":"Lin C-M, Li H-Y (2012) TSK fuzzy CMAC-based robust adaptive backstepping control for uncertain nonlinear systems. IEEE Trans Fuzzy Syst 20(6):1147\u20131154","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"4","key":"2482_CR48","doi-asserted-by":"publisher","first-page":"3303","DOI":"10.3233\/JIFS-181014","volume":"36","author":"T-L Le","year":"2019","unstructured":"Le T-L (2019) Intelligent fuzzy controller design for antilock braking systems. J Intell Fuzzy Syst 36(4):3303\u20133315","journal-title":"J Intell Fuzzy Syst"},{"issue":"11","key":"2482_CR49","doi-asserted-by":"publisher","first-page":"9671","DOI":"10.1109\/TIE.2019.2952790","volume":"67","author":"TT Huynh","year":"2020","unstructured":"Huynh TT, Lin CM, Le TL, Cho H, Pham TTT, Le NQK, Chao F (2020) A new self-organizing fuzzy cerebellar model articulation controller for uncertain nonlinear systems using overlapped gaussian membership functions. IEEE Trans Ind Electron 67(11):9671\u20139682","journal-title":"IEEE Trans Ind Electron"},{"key":"2482_CR50","volume-title":"Applied nonlinear control","author":"JJE Slotine","year":"1991","unstructured":"Slotine JJE, Li W (1991) Applied nonlinear control. Prentice-Hall, Englewood Cliffs"},{"issue":"7","key":"2482_CR51","doi-asserted-by":"publisher","first-page":"1041","DOI":"10.1016\/j.engappai.2010.06.011","volume":"23","author":"AB Sharkawy","year":"2010","unstructured":"Sharkawy AB (2010) Genetic fuzzy self-tuning PID controllers for antilock braking systems. Eng Appl Artif Intell 23(7):1041\u20131052","journal-title":"Eng Appl Artif Intell"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02482-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-021-02482-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02482-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,26]],"date-time":"2022-10-26T06:27:02Z","timestamp":1666765622000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-021-02482-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,21]]},"references-count":51,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["2482"],"URL":"https:\/\/doi.org\/10.1007\/s10489-021-02482-4","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,21]]},"assertion":[{"value":"28 April 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 June 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}