{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T18:43:14Z","timestamp":1770576194510,"version":"3.49.0"},"reference-count":78,"publisher":"Springer Science and Business Media LLC","issue":"19","license":[{"start":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T00:00:00Z","timestamp":1702252800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T00:00:00Z","timestamp":1702252800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-17719-2","type":"journal-article","created":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T06:02:06Z","timestamp":1702274526000},"page":"56275-56302","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A cloud service composition method using a fuzzy-based particle swarm optimization algorithm"],"prefix":"10.1007","volume":"83","author":[{"given":"Habibeh","family":"Nazif","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad","family":"Nassr","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamza Mohammed Ridha","family":"Al-Khafaji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3259-6841","authenticated-orcid":false,"given":"Nima","family":"Jafari Navimipour","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehmet","family":"Unal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,12,11]]},"reference":[{"key":"17719_CR1","unstructured":"Darbandi M (2017) Proposing new intelligent system for suggesting better service providers in cloud computing based on Kalman filtering. Published by HCTL International Journal of Technology Innovations and Research, 24(1): pp 1\u20139. ISSN: 2321-1814"},{"key":"17719_CR2","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.comcom.2020.01.060","volume":"153","author":"Z Lv","year":"2020","unstructured":"Lv Z, Kumar N (2020) Software defined solutions for sensors in 6G\/IoE. Comput Commun 153:42\u201347","journal-title":"Comput Commun"},{"issue":"1","key":"17719_CR3","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1109\/TCOMM.2020.3031616","volume":"69","author":"A Li","year":"2020","unstructured":"Li A et al (2020) Interference exploitation precoding for multi-level modulations: closed-form solutions. IEEE Trans Commun 69(1):291\u2013308","journal-title":"IEEE Trans Commun"},{"issue":"5","key":"17719_CR4","doi-asserted-by":"crossref","first-page":"e4259","DOI":"10.1002\/dac.4259","volume":"33","author":"K Zanbouri","year":"2020","unstructured":"Zanbouri K, JafariNavimipour N (2020) A cloud service composition method using a trust-based clustering algorithm and honeybee mating optimization algorithm. Int J Commun Syst 33(5):e4259","journal-title":"Int J Commun Syst"},{"key":"17719_CR5","unstructured":"Darbandi M (2017) Proposing new intelligence algorithm for suggesting better services to cloud users based on Kalman filtering. Published by Journal of Computer Sciences and Applications, 5(1): pp 11\u201316. ISSN: 2328-7268"},{"key":"17719_CR6","unstructured":"Darbandi M (2017) Kalman filtering for estimation and prediction servers with lower traffic loads for transferring high-level processes in cloud computing. Published by HCTL International Journal of Technology Innovations and Research, 23(1): pp 10\u201320. ISSN: 2321\u20131814"},{"issue":"3","key":"17719_CR7","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1109\/TNSE.2021.3137353","volume":"9","author":"Q Ni","year":"2021","unstructured":"Ni Q et al (2021) Continuous influence-based community partition for social networks. IEEE Trans Netw Sci Eng 9(3):1187\u20131197","journal-title":"IEEE Trans Netw Sci Eng"},{"key":"17719_CR8","doi-asserted-by":"crossref","unstructured":"Yao Y et al (2023) Secure transmission scheme based on joint radar and communication in mobile vehicular networks. IEEE Trans Intell Transport Syst","DOI":"10.1109\/TITS.2023.3271452"},{"issue":"8","key":"17719_CR9","doi-asserted-by":"crossref","first-page":"e4340","DOI":"10.1002\/dac.4340","volume":"33","author":"M HaghiKashani","year":"2020","unstructured":"HaghiKashani M, Rahmani AM, JafariNavimipour N (2020) Quality of service-aware approaches in fog computing. Int J Commun Syst 33(8):e4340","journal-title":"Int J Commun Syst"},{"issue":"6","key":"17719_CR10","doi-asserted-by":"crossref","first-page":"3841","DOI":"10.1109\/TITS.2021.3059455","volume":"22","author":"B Cao","year":"2021","unstructured":"Cao B et al (2021) Large-scale many-objective deployment optimization of edge servers. IEEE Trans Intell Transp Syst 22(6):3841\u20133849","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"2","key":"17719_CR11","doi-asserted-by":"crossref","first-page":"1496","DOI":"10.1109\/TRO.2022.3208503","volume":"39","author":"J Zhang","year":"2022","unstructured":"Zhang J, Tang Y, Wang H, Xu K (2022) ASRO-DIO: active subspace random optimization based depth inertial odometry. IEEE Trans Rob 39(2):1496\u20131508","journal-title":"IEEE Trans Rob"},{"issue":"11","key":"17719_CR12","doi-asserted-by":"crossref","first-page":"5762","DOI":"10.1109\/TAC.2021.3124750","volume":"67","author":"B Li","year":"2021","unstructured":"Li B, Tan Y, Wu A-G, Duan G-R (2021) A distributionally robust optimization based method for stochastic model predictive control. IEEE Trans Autom Control 67(11):5762\u20135776","journal-title":"IEEE Trans Autom Control"},{"issue":"3","key":"17719_CR13","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1109\/TSC.2015.2473840","volume":"10","author":"C Jatoth","year":"2015","unstructured":"Jatoth C, Gangadharan G, Buyya R (2015) Computational intelligence based QoS-aware web service composition: a systematic literature review. IEEE Trans Serv Comput 10(3):475\u2013492","journal-title":"IEEE Trans Serv Comput"},{"issue":"6","key":"17719_CR14","doi-asserted-by":"crossref","first-page":"3832","DOI":"10.1109\/TITS.2020.3048844","volume":"22","author":"B Cao","year":"2021","unstructured":"Cao B, Sun Z, Zhang J, Gu Y (2021) Resource allocation in 5G IoV architecture based on SDN and fog-cloud computing. IEEE Trans Intell Transp Syst 22(6):3832\u20133840","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"4","key":"17719_CR15","doi-asserted-by":"crossref","first-page":"2101","DOI":"10.3390\/ijerph18042101","volume":"18","author":"M Shang","year":"2021","unstructured":"Shang M, Luo J (2021) The tapio decoupling principle and key strategies for changing factors of chinese urban carbon footprint based on cloud computing. Int J Environ Res Public Health 18(4):2101","journal-title":"Int J Environ Res Public Health"},{"key":"17719_CR16","doi-asserted-by":"crossref","unstructured":"Xie Y et al (2023) A two-stage estimation of distribution algorithm with heuristics for energy-aware cloud workflow scheduling. IEEE Trans Serv Comput","DOI":"10.1109\/TSC.2023.3311785"},{"issue":"8","key":"17719_CR17","doi-asserted-by":"crossref","first-page":"6273","DOI":"10.1109\/JIOT.2020.3004469","volume":"8","author":"Z Lv","year":"2020","unstructured":"Lv Z, Chen D, Lou R, Song H (2020) Industrial security solution for virtual reality. IEEE Internet Things J 8(8):6273\u20136281","journal-title":"IEEE Internet Things J"},{"issue":"4","key":"17719_CR18","doi-asserted-by":"crossref","first-page":"1387","DOI":"10.1007\/s11227-016-1814-8","volume":"73","author":"MB Karimi","year":"2017","unstructured":"Karimi MB, Isazadeh A, Rahmani AM (2017) QoS-aware service composition in cloud computing using data mining techniques and genetic algorithm. J Supercomput 73(4):1387\u20131415","journal-title":"J Supercomput"},{"key":"17719_CR19","doi-asserted-by":"crossref","unstructured":"Tan J et al (2022) WF-MTD: evolutionary decision method for moving target defense based on wright-fisher process. IEEE Trans Dependable Secure Comput","DOI":"10.1109\/TDSC.2022.3232537"},{"key":"17719_CR20","doi-asserted-by":"crossref","first-page":"27140","DOI":"10.1109\/ACCESS.2021.3057719","volume":"9","author":"G Zhou","year":"2021","unstructured":"Zhou G, Zhang R, Huang S (2021) Generalized buffering algorithm. IEEE Access 9:27140\u201327157","journal-title":"IEEE Access"},{"key":"17719_CR21","doi-asserted-by":"crossref","first-page":"1765","DOI":"10.1007\/s00521-019-04566-2","volume":"32","author":"X Li","year":"2020","unstructured":"Li X, Sun Y (2020) Stock intelligent investment strategy based on support vector machine parameter optimization algorithm. Neural Comput Appl 32:1765\u20131775","journal-title":"Neural Comput Appl"},{"issue":"8","key":"17719_CR22","doi-asserted-by":"crossref","first-page":"2381","DOI":"10.1109\/JLT.2023.3236400","volume":"41","author":"J Shi","year":"2023","unstructured":"Shi J et al (2023) Waveform-to-waveform end-to-end learning framework in a seamless fiber-terahertz integrated communication system. J Lightwave Technol 41(8):2381\u20132392","journal-title":"J Lightwave Technol"},{"key":"17719_CR23","first-page":"1","volume":"2022","author":"G Chen","year":"2022","unstructured":"Chen G, Chen P, Huang W, Zhai J (2022) Continuance intention mechanism of middle school student users on online learning platform based on qualitative comparative analysis method. Math Probl Eng 2022:1\u201312","journal-title":"Math Probl Eng"},{"issue":"4","key":"17719_CR24","doi-asserted-by":"crossref","first-page":"1594","DOI":"10.1109\/TNNLS.2020.3042975","volume":"33","author":"F Song","year":"2020","unstructured":"Song F et al (2020) Data-driven feedforward learning with force ripple compensation for wafer stages: a variable-gain robust approach. IEEE Trans Neural Netw Learn Syst 33(4):1594\u20131608","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"5","key":"17719_CR25","doi-asserted-by":"crossref","first-page":"939","DOI":"10.1109\/TFUZZ.2020.2972207","volume":"28","author":"B Cao","year":"2020","unstructured":"Cao B et al (2020) Multi-objective evolution of fuzzy rough neural network via distributed parallelism for stock prediction. IEEE Trans Fuzzy Syst 28(5):939\u2013952","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"5","key":"17719_CR26","doi-asserted-by":"crossref","first-page":"3597","DOI":"10.1109\/TII.2019.2952565","volume":"16","author":"B Cao","year":"2019","unstructured":"Cao B et al (2019) Multi-objective 3-D topology optimization of next-generation wireless data center network. IEEE Trans Industr Inf 16(5):3597\u20133605","journal-title":"IEEE Trans Industr Inf"},{"key":"17719_CR27","unstructured":"de Gyv\u00e9s Avila S, Djemame K (2014) Proactive adaptation in service composition using a fuzzy logic based optimization mechanism. In: CLOSER"},{"issue":"5","key":"17719_CR28","doi-asserted-by":"crossref","first-page":"3279","DOI":"10.1109\/TAES.2021.3074204","volume":"57","author":"X Bai","year":"2021","unstructured":"Bai X, He Y, Xu M (2021) Low-thrust reconfiguration strategy and optimization for formation flying using Jordan normal form. IEEE Trans Aerosp Electron Syst 57(5):3279\u20133295","journal-title":"IEEE Trans Aerosp Electron Syst"},{"issue":"17","key":"17719_CR29","doi-asserted-by":"crossref","first-page":"13343","DOI":"10.1109\/JIOT.2021.3065966","volume":"8","author":"K Ma","year":"2021","unstructured":"Ma K et al (2021) Reliability-constrained throughput optimization of industrial wireless sensor networks with energy harvesting relay. IEEE Internet Things J 8(17):13343\u201313354","journal-title":"IEEE Internet Things J"},{"key":"17719_CR30","doi-asserted-by":"crossref","unstructured":"Zhengcheng W (2022) Optimization of resource service composition in cloud manufacture based on improved genetic and ant colony algorithm. In: Advances in intelligent systems and computing. Springer, pp 183\u2013198","DOI":"10.1007\/978-981-16-8048-9_18"},{"issue":"13","key":"17719_CR31","doi-asserted-by":"crossref","first-page":"4873","DOI":"10.3390\/s22134873","volume":"22","author":"SS Sefati","year":"2022","unstructured":"Sefati SS, Halunga S (2022) A hybrid service selection and composition for cloud computing using the adaptive penalty function in genetic and artificial bee colony algorithm. Sensors 22(13):4873","journal-title":"Sensors"},{"issue":"10","key":"17719_CR32","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/MCOM.211.2001056","volume":"59","author":"I Dimolitsas","year":"2021","unstructured":"Dimolitsas I et al (2021) Edge cloud selection: the essential step for network service marketplaces. IEEE Commun Mag 59(10):28\u201333","journal-title":"IEEE Commun Mag"},{"key":"17719_CR33","volume":"23","author":"N Xie","year":"2021","unstructured":"Xie N et al (2021) An efficient two-phase approach for reliable collaboration-aware service composition in cloud manufacturing. J Ind Inf Integr 23:100211","journal-title":"J Ind Inf Integr"},{"key":"17719_CR34","doi-asserted-by":"crossref","first-page":"95208","DOI":"10.1109\/ACCESS.2021.3092288","volume":"9","author":"F Dahan","year":"2021","unstructured":"Dahan F et al (2021) An efficient hybrid metaheuristic algorithm for QoS-Aware cloud service composition problem. IEEE Access 9:95208\u201395217","journal-title":"IEEE Access"},{"key":"17719_CR35","doi-asserted-by":"crossref","first-page":"34207","DOI":"10.1109\/ACCESS.2019.2904081","volume":"7","author":"W Li","year":"2019","unstructured":"Li W et al (2019) A trust-based agent learning model for service composition in mobile cloud computing environments. IEEE Access 7:34207\u201334226","journal-title":"IEEE Access"},{"issue":"5","key":"17719_CR36","doi-asserted-by":"crossref","first-page":"1851","DOI":"10.1007\/s12652-018-0773-8","volume":"10","author":"A Naseri","year":"2019","unstructured":"Naseri A, JafariNavimipour N (2019) A new agent-based method for QoS-aware cloud service composition using particle swarm optimization algorithm. J Ambient Intell Humaniz Comput 10(5):1851\u20131864","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"17719_CR37","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.ins.2018.05.009","volume":"456","author":"J Zhou","year":"2018","unstructured":"Zhou J et al (2018) An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing. Inf Sci 456:50\u201382","journal-title":"Inf Sci"},{"issue":"4","key":"17719_CR38","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1016\/j.future.2012.06.006","volume":"29","author":"SK Garg","year":"2013","unstructured":"Garg SK, Versteeg S, Buyya R (2013) A framework for ranking of cloud computing services. Futur Gener Comput Syst 29(4):1012\u20131023","journal-title":"Futur Gener Comput Syst"},{"key":"17719_CR39","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.future.2023.03.020","volume":"145","author":"Y Song","year":"2023","unstructured":"Song Y et al (2023) Identifying performance anomalies in fluctuating cloud environments: a robust correlative-GNN-based explainable approach. Futur Gener Comput Syst 145:77\u201386","journal-title":"Futur Gener Comput Syst"},{"issue":"1","key":"17719_CR40","doi-asserted-by":"crossref","first-page":"662","DOI":"10.1109\/TII.2022.3186641","volume":"19","author":"X Dai","year":"2022","unstructured":"Dai X et al (2022) Task offloading for cloud-assisted fog computing with dynamic service caching in enterprise management systems. IEEE Trans Industr Inf 19(1):662\u2013672","journal-title":"IEEE Trans Industr Inf"},{"key":"17719_CR41","unstructured":"Hayyolalam V, Kazem AAP (2018) Review of service composition approaches in cloud environment. In: First international comprehensive competition conference on engineering sciences in Iran"},{"issue":"12","key":"17719_CR42","doi-asserted-by":"crossref","first-page":"9493","DOI":"10.1007\/s11227-020-03213-1","volume":"76","author":"H Tabrizchi","year":"2020","unstructured":"Tabrizchi H, Kuchaki Rafsanjani M (2020) A survey on security challenges in cloud computing: issues, threats, and solutions. J Supercomput 76(12):9493\u20139532","journal-title":"J Supercomput"},{"issue":"4","key":"17719_CR43","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1504\/IJBIC.2019.100139","volume":"13","author":"S Asghari","year":"2019","unstructured":"Asghari S, Navimipour NJ (2019) Cloud service composition using an inverted ant colony optimisation algorithm. Int J Bio-Inspir Comput 13(4):257\u2013268","journal-title":"Int J Bio-Inspir Comput"},{"key":"17719_CR44","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.compeleceng.2014.12.004","volume":"41","author":"Q Yu","year":"2015","unstructured":"Yu Q, Chen L, Li B (2015) Ant colony optimization applied to web service compositions in cloud computing. Comput Electr Eng 41:18\u201327","journal-title":"Comput Electr Eng"},{"key":"17719_CR45","doi-asserted-by":"crossref","unstructured":"Zhang Z et al (2022) Hawk\u2010eye\u2010inspired perception algorithm of stereo vision for obtaining orchard 3D point cloud navigation map. CAAI Trans Intell Technol","DOI":"10.1049\/cit2.12141"},{"key":"17719_CR46","doi-asserted-by":"crossref","unstructured":"Sun Y, Ma P, Dai J, Li D (2023) A cloud Bayesian network approach to situation assessment of scouting underwater targets with fixed\u2010wing patrol aircraft. CAAI Trans Intell Technol","DOI":"10.1049\/cit2.12108"},{"issue":"1","key":"17719_CR47","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1177\/1063293X211032343","volume":"30","author":"J Gao","year":"2022","unstructured":"Gao J, Yan X, Guo H (2022) A discrete manufacturing SCOS framework based on functional interval parameters and fuzzy QoS attributes using moving window FPA. Concurr Eng 30(1):46\u201366","journal-title":"Concurr Eng"},{"key":"17719_CR48","doi-asserted-by":"crossref","DOI":"10.1016\/j.retrec.2021.101095","volume":"92","author":"Y Zhang","year":"2022","unstructured":"Zhang Y, Xue W, Wei W, Nazif H (2022) A public transport network design using a hidden Markov model and an optimization algorithm. Res Transp Econ 92:101095","journal-title":"Res Transp Econ"},{"issue":"3","key":"17719_CR49","first-page":"80","volume":"2","author":"X Hu","year":"2022","unstructured":"Hu X et al (2022) A coherent pattern mining algorithm based on all contiguous column bicluster. J Artif Intell Technol 2(3):80\u201392","journal-title":"J Artif Intell Technol"},{"issue":"3","key":"17719_CR50","first-page":"111","volume":"2","author":"Z Zhang","year":"2022","unstructured":"Zhang Z et al (2022) Traffic dataset and dynamic routing algorithm in traffic simulation. J Artif Intell Technol 2(3):111\u2013122","journal-title":"J Artif Intell Technol"},{"issue":"5","key":"17719_CR51","doi-asserted-by":"crossref","first-page":"3099","DOI":"10.1109\/JIOT.2020.3033473","volume":"8","author":"B Cao","year":"2020","unstructured":"Cao B et al (2020) RFID reader anticollision based on distributed parallel particle swarm optimization. IEEE Internet Things J 8(5):3099\u20133107","journal-title":"IEEE Internet Things J"},{"issue":"8","key":"17719_CR52","doi-asserted-by":"crossref","first-page":"837","DOI":"10.3390\/machines11080837","volume":"11","author":"S Li","year":"2023","unstructured":"Li S et al (2023) Hybrid method with parallel-factor theory, a support vector machine, and particle filter optimization for intelligent machinery failure identification. Machines 11(8):837","journal-title":"Machines"},{"key":"17719_CR53","volume":"53","author":"B Cao","year":"2020","unstructured":"Cao B et al (2020) Applying graph-based differential grouping for multi-objective large-scale optimization. Swarm Evol Comput 53:100626","journal-title":"Swarm Evol Comput"},{"issue":"4","key":"17719_CR54","doi-asserted-by":"crossref","first-page":"2133","DOI":"10.1109\/TITS.2020.3040909","volume":"22","author":"B Cao","year":"2020","unstructured":"Cao B, Zhao J, Lv Z, Yang P (2020) Diversified personalized recommendation optimization based on mobile data. IEEE Trans Intell Transp Syst 22(4):2133\u20132139","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"25\u201326","key":"17719_CR55","doi-asserted-by":"crossref","first-page":"18839","DOI":"10.1007\/s11042-020-08699-8","volume":"79","author":"N Dhanachandra","year":"2020","unstructured":"Dhanachandra N, Chanu YJ (2020) An image segmentation approach based on fuzzy c-means and dynamic particle swarm optimization algorithm. Multimed Tools Appl 79(25\u201326):18839\u201318858","journal-title":"Multimed Tools Appl"},{"issue":"3","key":"17719_CR56","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1049\/cit2.12106","volume":"8","author":"YQ Wang","year":"2023","unstructured":"Wang YQ et al (2023) Scale adaptive fitness evaluation-based particle swarm optimisation for hyperparameter and architecture optimisation in neural networks and deep learning. CAAI Trans Intell Technol 8(3):849\u2013862","journal-title":"CAAI Trans Intell Technol"},{"issue":"7","key":"17719_CR57","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1093\/comjnl\/bxz069","volume":"63","author":"N Yazdanjue","year":"2020","unstructured":"Yazdanjue N, Fathian M, Amiri B (2020) Evolutionary algorithms for k-anonymity in social networks based on clustering approach. Comput J 63(7):1039\u20131062","journal-title":"Comput J"},{"issue":"7","key":"17719_CR58","doi-asserted-by":"crossref","first-page":"2143","DOI":"10.1007\/s12206-013-0524-x","volume":"27","author":"A Majumder","year":"2013","unstructured":"Majumder A (2013) Process parameter optimization during EDM of AISI 316 LN stainless steel by using fuzzy based multi-objective PSO. J Mech Sci Technol 27(7):2143\u20132151","journal-title":"J Mech Sci Technol"},{"issue":"3","key":"17719_CR59","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338\u2013353","journal-title":"Inf Control"},{"issue":"3","key":"17719_CR60","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/0020-0255(75)90036-5","volume":"8","author":"LA Zadeh","year":"1975","unstructured":"Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning\u2014I. Inf Sci 8(3):199\u2013249","journal-title":"Inf Sci"},{"key":"17719_CR61","volume-title":"Artificial intelligence and expert systems for artificial intelligence engineers","author":"C Krishnamoorthy","year":"2018","unstructured":"Krishnamoorthy C, Rajeev S (2018) Artificial intelligence and expert systems for artificial intelligence engineers. CRC Press, Boca Raton"},{"issue":"3","key":"17719_CR62","first-page":"109","volume":"1","author":"A Sarkar","year":"2022","unstructured":"Sarkar A, Biswas A, Kundu M (2022) Development of q-rung orthopair trapezoidal fuzzy Einstein aggregation operators and their application in MCGDM problems. J Comput Cogn Eng 1(3):109\u2013121","journal-title":"J Comput Cogn Eng"},{"issue":"22","key":"17719_CR63","doi-asserted-by":"crossref","first-page":"8644","DOI":"10.3390\/ijerph17228644","volume":"17","author":"A Comesa\u00f1a-Campos","year":"2020","unstructured":"Comesa\u00f1a-Campos A, Casal-Guisande M, Cerqueiro-Peque\u00f1o J, Bouza-Rodr\u00edguez J-B (2020) A methodology based on expert systems for the early detection and prevention of hypoxemic clinical cases. Int J Environ Res Public Health 17(22):8644","journal-title":"Int J Environ Res Public Health"},{"issue":"2","key":"17719_CR64","first-page":"124","volume":"2","author":"M Nezhadkian","year":"2023","unstructured":"Nezhadkian M, Azimi SM, Ferro A, Nafei AH (2023) A model for new product development in business companies based on grounded theory approach and fuzzy method. J Comput Cogn Eng 2(2):124\u2013132","journal-title":"J Comput Cogn Eng"},{"issue":"12","key":"17719_CR65","doi-asserted-by":"crossref","first-page":"1182","DOI":"10.1109\/TC.1977.1674779","volume":"26","author":"EH Mamdani","year":"1977","unstructured":"Mamdani EH (1977) Application of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Trans Comput 26(12):1182\u20131191","journal-title":"IEEE Trans Comput"},{"key":"17719_CR66","doi-asserted-by":"crossref","unstructured":"Tavousi F, Azizi S, Ghaderzadeh A (2022) A fuzzy approach for optimal placement of IoT applications in fog-cloud computing. Cluster Comput:1\u201318","DOI":"10.1007\/s10586-021-03406-0"},{"key":"17719_CR67","doi-asserted-by":"crossref","unstructured":"Mendel JM (2017) Uncertain rule-based fuzzy systems. Introduction and new directions, pp 684","DOI":"10.1007\/978-3-319-51370-6"},{"issue":"5","key":"17719_CR68","first-page":"12","volume":"20","author":"S Jeya","year":"2021","unstructured":"Jeya S, Sankari L (2021) Adaptive kernel fuzzy weighted particle swarm optimized deep learning model to predict air pollution PM2. 5. Ilkogretim Online 20(5):12\u201323","journal-title":"Ilkogretim Online"},{"key":"17719_CR69","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1016\/j.cie.2019.03.006","volume":"130","author":"N Mansouri","year":"2019","unstructured":"Mansouri N, Zade BMH, Javidi MM (2019) Hybrid task scheduling strategy for cloud computing by modified particle swarm optimization and fuzzy theory. Comput Ind Eng 130:597\u2013633","journal-title":"Comput Ind Eng"},{"issue":"10","key":"17719_CR70","doi-asserted-by":"crossref","first-page":"1399","DOI":"10.3390\/jmse10101399","volume":"10","author":"Y Zheng","year":"2022","unstructured":"Zheng Y, Lv X, Qian L, Liu X (2022) An optimal bp neural network track prediction method based on a ga\u2013aco hybrid algorithm. J Mar Sci Eng 10(10):1399","journal-title":"J Mar Sci Eng"},{"issue":"5","key":"17719_CR71","first-page":"283","volume":"2","author":"F Piltan","year":"2011","unstructured":"Piltan F et al (2011) Design adaptive fuzzy inference sliding mode algorithm: applied to robot arm. Int J Robot Autom 2(5):283\u2013297","journal-title":"Int J Robot Autom"},{"key":"17719_CR72","doi-asserted-by":"crossref","unstructured":"Clerc M (2012) Beyond standard particle swarm optimization. In: Innovations and developments of swarm intelligence applications. IGI Global, pp 1\u201319","DOI":"10.4018\/978-1-4666-1592-2.ch001"},{"key":"17719_CR73","doi-asserted-by":"crossref","unstructured":"Al-Masri E, Mahmoud QH (2007) Qos-based discovery and ranking of web services. In: 2007 16th international conference on computer communications and networks. IEEE","DOI":"10.1109\/ICCCN.2007.4317873"},{"issue":"6","key":"17719_CR74","volume":"33","author":"X Ren","year":"2021","unstructured":"Ren X, Zhang Z, Chen S, Abnoosian K (2021) An energy-aware method for task allocation in the Internet of things using a hybrid optimization algorithm. Concurr Comput: Pract Exp 33(6):e5967","journal-title":"Concurr Comput: Pract Exp"},{"issue":"8","key":"17719_CR75","doi-asserted-by":"crossref","first-page":"4073","DOI":"10.3390\/app12084073","volume":"12","author":"L Qian","year":"2022","unstructured":"Qian L et al (2022) A new method of inland water ship trajectory prediction based on long short-term memory network optimized by genetic algorithm. Appl Sci 12(8):4073","journal-title":"Appl Sci"},{"key":"17719_CR76","doi-asserted-by":"crossref","unstructured":"Sakamoto S et al (2015) Analysis of WMN-HC simulation system data using friedman test. In: 2015 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015, 8\u201310 July 2015, Blumenau, Santa Catarina, Brazil: proceedings. Institute of Electrical and Electronics Engineers (IEEE)","DOI":"10.1109\/CISIS.2015.39"},{"key":"17719_CR77","unstructured":"Wang X et al (2020) Block switching: a stochastic approach for deep learning security. arXiv preprint arXiv:2002.07920"},{"issue":"2","key":"17719_CR78","first-page":"47","volume":"2","author":"I-H Hsiao","year":"2022","unstructured":"Hsiao I-H, Chung C-Y (2022) AI-infused semantic model to enrich and expand programming question generation. J Artif Intell Technol 2(2):47\u201354","journal-title":"J Artif Intell Technol"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-17719-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-17719-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-17719-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,25]],"date-time":"2024-05-25T06:14:55Z","timestamp":1716617695000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-17719-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,11]]},"references-count":78,"journal-issue":{"issue":"19","published-online":{"date-parts":[[2024,6]]}},"alternative-id":["17719"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-17719-2","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,11]]},"assertion":[{"value":"28 March 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 September 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 November 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 December 2023","order":4,"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"}}]}}