{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T16:51:35Z","timestamp":1770137495987,"version":"3.49.0"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T00:00:00Z","timestamp":1660521600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T00:00:00Z","timestamp":1660521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"The Fundamental Research Funds in Heilongjiang Provincial Universities","award":["135309372"],"award-info":[{"award-number":["135309372"]}]},{"DOI":"10.13039\/501100005046","name":"Natural Science Foundation of Heilongjiang Province","doi-asserted-by":"crossref","award":["LH2021F057"],"award-info":[{"award-number":["LH2021F057"]}],"id":[{"id":"10.13039\/501100005046","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1007\/s11063-022-10960-0","type":"journal-article","created":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T15:03:09Z","timestamp":1660575789000},"page":"1715-1740","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Dynamic Feedback Tracking Control for Interval Type-2\u00a0T-S Fuzzy Nonlinear System Based on Adaptive Event-Triggered Strategy"],"prefix":"10.1007","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6630-7628","authenticated-orcid":false,"given":"Yang","family":"Jia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangtao","family":"Ran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youmin","family":"Gong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengxia","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,8,15]]},"reference":[{"issue":"5","key":"10960_CR1","doi-asserted-by":"publisher","first-page":"1740","DOI":"10.1109\/TII.2015.2506545","volume":"12","author":"XM Zhang","year":"2016","unstructured":"Zhang XM, Han QL, Yu X (2016) Survey on recent advances in networked control systems. IEEE Trans Industr Inf 12(5):1740\u20131752. https:\/\/doi.org\/10.1109\/TII.2015.2506545","journal-title":"IEEE Trans Industr Inf"},{"issue":"7","key":"10960_CR2","doi-asserted-by":"publisher","first-page":"2579","DOI":"10.1109\/TSP.2006.874370","volume":"54","author":"Z Wang","year":"2006","unstructured":"Wang Z, Yang F, Ho DWC, Liu X (2006) Robust H\u221e filtering for stochastic time-delay systems with missing measurements. IEEE Trans Signal Process 54(7):2579\u20132587. https:\/\/doi.org\/10.1109\/TSP.2006.874370","journal-title":"IEEE Trans Signal Process"},{"issue":"2","key":"10960_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11063-017-9617-3","volume":"46","author":"JD Rios","year":"2017","unstructured":"Rios JD, Alanis AY, Arana-Daniel N et al (2017) Recurrent high order neural observer for discrete-time non-linear systems with unknown time-delay. Neural Process Lett 46(2):1\u201317. https:\/\/doi.org\/10.1007\/s11063-017-9617-3","journal-title":"Neural Process Lett"},{"issue":"2","key":"10960_CR4","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1007\/s11063-015-9460-3","volume":"44","author":"G Zhuang","year":"2016","unstructured":"Zhuang G, Ma Q, Xia J, Zhang H (2016) H\u221e estimation for Markovian jump neural networks with quantization, transmission delay and packet dropout. Neural Process Lett 44(2):317\u2013341. https:\/\/doi.org\/10.1007\/s11063-015-9460-3","journal-title":"Neural Process Lett"},{"issue":"2","key":"10960_CR5","doi-asserted-by":"publisher","first-page":"1377","DOI":"10.1002\/asjc.1818","volume":"21","author":"LL Cheng","year":"2019","unstructured":"Cheng LL, Zhan XS, Wu J, Han T (2019) An optimal tracking performance of MIMO NCS with quantization and bandwidth constraints. Asian J Cont 21(2):1377\u20131388. https:\/\/doi.org\/10.1002\/asjc.1818","journal-title":"Asian J Cont"},{"issue":"12","key":"10960_CR6","doi-asserted-by":"publisher","first-page":"3815","DOI":"10.1007\/s00521-016-2271-2","volume":"28","author":"Q Li","year":"2017","unstructured":"Li Q, Shen B, Liu Y, Huang T (2017) Event-triggered H\u221e state estimation for discrete-time neural networks with mixed time delays and sensor saturations. Neural Comput Appl 28(12):3815\u20133825. https:\/\/doi.org\/10.1007\/s00521-016-2271-2","journal-title":"Neural Comput Appl"},{"key":"10960_CR7","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.automatica.2017.07.048","volume":"85","author":"B Emmanuel","year":"2017","unstructured":"Emmanuel B, Emmanuel M, Patrick C (2017) Stability of homogeneous nonlinear systems with sampled-data inputs. Automatica 85:349\u2013355. https:\/\/doi.org\/10.1016\/j.automatica.2017.07.048","journal-title":"Automatica"},{"key":"10960_CR8","doi-asserted-by":"publisher","first-page":"1684","DOI":"10.1016\/j.neucom.2017.10.008","volume":"275","author":"X Ge","year":"2018","unstructured":"Ge X, Han QL, Ding D, Zhang XM, Ning B (2018) A survey on recent advances in distributed sampled-data cooperative control of multi-agent systems. Neurocomputing 275:1684\u20131701. https:\/\/doi.org\/10.1016\/j.neucom.2017.10.008","journal-title":"Neurocomputing"},{"key":"10960_CR9","doi-asserted-by":"publisher","first-page":"1331","DOI":"10.1007\/s11063-019-10145-2","volume":"51","author":"Y Fan","year":"2020","unstructured":"Fan Y, Mei J, Liu H, Fan Y, Liu F, Zhang Y (2020) Fast synchronization of complex networks via a periodically intermittent sliding mode control. Neural Process Lett 51:1331\u20131352. https:\/\/doi.org\/10.1007\/s11063-019-10145-2","journal-title":"Neural Process Lett"},{"issue":"2022","key":"10960_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2021.126474","volume":"412","author":"H Wang","year":"2022","unstructured":"Wang H, Chen X, Wang J (2022) H\u221e sliding mode control for PDT-switched nonlinear systems under the dynamic event-triggered mechanism. Appl Math Comput 412(2022):126474. https:\/\/doi.org\/10.1016\/j.amc.2021.126474","journal-title":"Appl Math Comput"},{"issue":"3","key":"10960_CR11","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/j.compind.2010.10.001","volume":"62","author":"R-E Precup","year":"2011","unstructured":"Precup R-E, Hellendoorn H (2011) A survey on industrial applications of fuzzy control. Comput Ind 62(3):213\u2013226. https:\/\/doi.org\/10.1016\/j.compind.2010.10.001","journal-title":"Comput Ind"},{"key":"10960_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2021.3070125","author":"J Wang","year":"2021","unstructured":"Wang J, Yang C, Xia J, Wu Z, Shen H (2021) Observer-based sliding mode control for networked fuzzy singularly perturbed systems under weighted try-once-discard protocol. IEEE Trans Fuzzy Syst. https:\/\/doi.org\/10.1109\/TFUZZ.2021.3070125","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"10960_CR13","doi-asserted-by":"publisher","first-page":"2513","DOI":"10.1007\/s11063-020-10220-z","volume":"51","author":"J Zhao","year":"2020","unstructured":"Zhao J (2020) Neural network-based optimal tracking control of continuous-time uncertain nonlinear system via reinforcement learning. Neural Process Lett 51(3):2513\u20132530. https:\/\/doi.org\/10.1007\/s11063-020-10220-z","journal-title":"Neural Process Lett"},{"key":"10960_CR14","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.automatica.2018.10.030","volume":"100","author":"H Li","year":"2019","unstructured":"Li H, Zhao S, He W, Lu R (2019) Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone. Automatica 100:99\u2013107. https:\/\/doi.org\/10.1016\/j.automatica.2018.10.030","journal-title":"Automatica"},{"issue":"1","key":"10960_CR15","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1109\/TFUZZ.2019.2900844","volume":"28","author":"X Ping","year":"2020","unstructured":"Ping X, Pedrycz W (2020) Output feedback model predictive control of interval type-2 T-S fuzzy system with bounded disturbance. IEEE Trans Fuzzy Syst 28(1):148\u2013162. https:\/\/doi.org\/10.1109\/TFUZZ.2019.2900844","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"10960_CR16","doi-asserted-by":"publisher","first-page":"1789","DOI":"10.1007\/s11063-019-10167-w","volume":"51","author":"K Ucak","year":"2020","unstructured":"Ucak K (2020) A novel model predictive Runge-Kutta neural network controller for nonlinear MIMO systems. Neural Process Lett 51:1789\u20131833. https:\/\/doi.org\/10.1007\/s11063-019-10167-w","journal-title":"Neural Process Lett"},{"key":"10960_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2015\/259480","volume":"2015","author":"J Yu","year":"2015","unstructured":"Yu J, Xie Y, Tang X (2015) Model predictive control of NCS with data quantization and bounded arbitrary time delays. J Cont Sci Eng 2015:1\u201313. https:\/\/doi.org\/10.1155\/2015\/259480","journal-title":"J Cont Sci Eng"},{"issue":"2015","key":"10960_CR18","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.fss.2014.12.015","volume":"273","author":"D Zhang","year":"2015","unstructured":"Zhang D, Han QL, Jia X (2015) Network-based output tracking control for T-S fuzzy systems using an event-triggered communication scheme. Fuzzy Sets Syst 273(2015):26\u201348. https:\/\/doi.org\/10.1016\/j.fss.2014.12.015","journal-title":"Fuzzy Sets Syst"},{"issue":"3","key":"10960_CR19","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1109\/TAC.2008.919850","volume":"53","author":"H Gao","year":"2008","unstructured":"Gao H, Chen T (2008) Network-based H\u221e output tracking control. IEEE Trans Autom Control 53(3):655\u2013667. https:\/\/doi.org\/10.1109\/TAC.2008.919850","journal-title":"IEEE Trans Autom Control"},{"key":"10960_CR20","unstructured":"Fan X, Yi Y, Zhang T, Zheng W (2015) T-S fuzzy modeling-based anti-disturbance tracking control for systems with nonlinear disturbances [C]. In: IEEE 2015 34th Chinese Control Conference, pp 627\u2013632"},{"issue":"3","key":"10960_CR21","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1109\/TFUZZ.2016.2566807","volume":"25","author":"C Chen","year":"2017","unstructured":"Chen C, Liu Z, Zhang Y et al (2017) Asymptotic fuzzy tracking control for a class of stochastic strict-feedback systems. IEEE Trans Fuzzy Syst 25(3):556\u2013568. https:\/\/doi.org\/10.1109\/TFUZZ.2016.2566807","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"2020","key":"10960_CR22","doi-asserted-by":"publisher","first-page":"2534","DOI":"10.1007\/s40815-020-00948-0","volume":"22","author":"C Gao","year":"2020","unstructured":"Gao C, Zhou X, Liu X, Yang Y, Li Z (2020) Observer-based adaptive fuzzy tracking control for a class of strict-feedback systems with event-triggered strategy and tan-type barrier Lyapunov function. Int J Fuzzy Syst 22(2020):2534\u20132545. https:\/\/doi.org\/10.1007\/s40815-020-00948-0","journal-title":"Int J Fuzzy Syst"},{"issue":"6","key":"10960_CR23","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.fss.2019.03.013","volume":"358","author":"G Liu","year":"2019","unstructured":"Liu G, Zhou Q, Zhang Y, Liang H (2019) Fuzzy tracking control for nonlinear multi-agent systems with actuator faults and unknown control directions. Fuzzy Sets Syst 358(6):81\u201397. https:\/\/doi.org\/10.1016\/j.fss.2019.03.013","journal-title":"Fuzzy Sets Syst"},{"key":"10960_CR24","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.ins.2018.04.055","volume":"457\u2013458","author":"P Chen","year":"2018","unstructured":"Chen P, Li F (2018) A survey on recent advances in event-triggered communication and control. Inf Sci 457\u2013458:113\u2013125. https:\/\/doi.org\/10.1016\/j.ins.2018.04.055","journal-title":"Inf Sci"},{"issue":"19","key":"10960_CR25","doi-asserted-by":"publisher","first-page":"1793","DOI":"10.1109\/TFUZZ.2019.2891236","volume":"27","author":"Z Zhang","year":"2019","unstructured":"Zhang Z, Liang H, Wu C, Ahn CK (2019) Adaptive event-triggered output feedback fuzzy control for nonlinear networked systems with packet dropouts and actuator failure. IEEE Trans Fuzzy Syst 27(19):1793\u20131806. https:\/\/doi.org\/10.1109\/TFUZZ.2019.2891236","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"10960_CR26","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.sigpro.2017.11.011","volume":"145","author":"D Wang","year":"2018","unstructured":"Wang D, Wang Z, Shen B, Li Y, Alsaadi FE (2018) An event-triggered approach to robust recursive filtering for stochastic discrete time-varying spatial-temporal systems. Signal Process 145:91\u201398. https:\/\/doi.org\/10.1016\/j.sigpro.2017.11.011","journal-title":"Signal Process"},{"key":"10960_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-96202-3","volume-title":"Recent advances in control and filtering of dynamic systems with constrained signals","author":"JH Park","year":"2019","unstructured":"Park JH, Shen H, Chang XH et al (2019) Recent advances in control and filtering of dynamic systems with constrained signals. Springer International Publishing, Berlin"},{"issue":"5","key":"10960_CR28","doi-asserted-by":"publisher","first-page":"1979","DOI":"10.1109\/TCYB.2018.2818941","volume":"49","author":"Q Li","year":"2019","unstructured":"Li Q, Shen B, Wang Z et al (2019) Synchronization control for a class of discrete time-delay complex dynamical networks: a dynamic event-triggered approach. IEEE Trans Cybernet 49(5):1979\u20131986. https:\/\/doi.org\/10.1109\/TCYB.2018.2818941","journal-title":"IEEE Trans Cybernet"},{"issue":"5","key":"10960_CR29","doi-asserted-by":"publisher","first-page":"1152","DOI":"10.1109\/TNNLS.2016.2516030","volume":"28","author":"B Shen","year":"2017","unstructured":"Shen B, Wang Z, Qiao H (2017) Event-triggered state estimation for discrete-time multidelayed neural networks with stochastic parameters and incomplete measurements. IEEE Trans Neural Netw Learn Syst 28(5):1152\u20131163. https:\/\/doi.org\/10.1109\/TNNLS.2016.2516030","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10960_CR30","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.neucom.2020.08.048","volume":"421","author":"N Li","year":"2021","unstructured":"Li N, Li Q, Suo J (2021) Dynamic event-triggered H\u221e state estimation for delayed complex networks with randomly occurring nonlinearities. Neurocomputing 421:97\u2013104. https:\/\/doi.org\/10.1016\/j.neucom.2020.08.048","journal-title":"Neurocomputing"},{"issue":"1","key":"10960_CR31","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1109\/TCSII.2020.2999480","volume":"68","author":"GT Ran","year":"2021","unstructured":"Ran GT, Liu J, Li CJ, Chen LM, Li DY (2021) Event-based finite-time consensus control of second-order delayed multi-agent systems. IEEE Trans Circuits Syst II Express Briefs 68(1):276\u2013280. https:\/\/doi.org\/10.1109\/TCSII.2020.2999480","journal-title":"IEEE Trans Circuits Syst II Express Briefs"},{"issue":"7","key":"10960_CR32","doi-asserted-by":"publisher","first-page":"1389","DOI":"10.1007\/s40815-020-00872-3","volume":"22","author":"B Li","year":"2020","unstructured":"Li B, Xia J, Zhang H, Shen H (2020) Event-triggered adaptive fuzzy tracking control for nonlinear systems. Int J Fuzzy Syst 22(7):1389\u20131399. https:\/\/doi.org\/10.1007\/s40815-020-00872-3","journal-title":"Int J Fuzzy Syst"},{"key":"10960_CR33","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/j.sigpro.2015.09.014","volume":"120","author":"L Wang","year":"2016","unstructured":"Wang L, Du H, Wu C, Li H (2016) A new compensation for fuzzy static output-feedback control of nonlinear networked discrete-time systems. Signal Process 120:255\u2013265. https:\/\/doi.org\/10.1016\/j.sigpro.2015.09.014","journal-title":"Signal Process"},{"issue":"9","key":"10960_CR34","doi-asserted-by":"publisher","first-page":"2480","DOI":"10.1109\/TCYB.2016.2582747","volume":"47","author":"XP Xie","year":"2016","unstructured":"Xie XP, Dong Y, Zhang HW, Chen P (2016) Control synthesis of discrete-time T-S fuzzy systems: reducing the conservatism whilst alleviating the computational burden. IEEE Trans Cybernet 47(9):2480\u20132491. https:\/\/doi.org\/10.1109\/TCYB.2016.2582747","journal-title":"IEEE Trans Cybernet"},{"issue":"10","key":"10960_CR35","doi-asserted-by":"publisher","first-page":"3082","DOI":"10.1109\/TFUZZ.2020.3012761","volume":"29","author":"J Wang","year":"2020","unstructured":"Wang J, Xia J, Shen H, Xing M, Ju H (2020) H\u221e synchronization for fuzzy Markov jump chaotic systems with piecewise-constant transition probabilities subject to PDT switching rule. IEEE Trans Fuzzy Syst 29(10):3082\u20133092. https:\/\/doi.org\/10.1109\/TFUZZ.2020.3012761","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"10960_CR36","doi-asserted-by":"crossref","unstructured":"Zhang Y, Tao G, Chen M (2015) Multivariable adaptive output tracking control of T-S fuzzy systems. In: The 54th IEEE Conference on Decision and Control (CDC)","DOI":"10.1109\/CDC.2015.7403209"},{"issue":"2","key":"10960_CR37","doi-asserted-by":"publisher","first-page":"956","DOI":"10.1109\/TIE.2013.2253064","volume":"61","author":"HK Lam","year":"2014","unstructured":"Lam HK, Li HY, Deters C, Secco EL, Wurdemann HA, Althoefer K (2014) Conrol design for interval type-2 fuzzy systems under imperfect premise matching. IEEE Trans Industr Electron 61(2):956\u2013968. https:\/\/doi.org\/10.1109\/TIE.2013.2253064","journal-title":"IEEE Trans Industr Electron"},{"issue":"2","key":"10960_CR38","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1109\/TFUZZ.2018.2856181","volume":"27","author":"N Rong","year":"2019","unstructured":"Rong N, Wang Z, Zhang H (2019) Finite-time stabilization for discontinuous interconnected delayed systems via interval type-2 T-S fuzzy model approach. IEEE Trans Fuzzy Syst 27(2):249\u2013261. https:\/\/doi.org\/10.1109\/TFUZZ.2018.2856181","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"10960_CR39","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.fss.2018.02.013","volume":"356","author":"Z Du","year":"2019","unstructured":"Du Z, Yan Z, Zhao Z (2019) Interval type-2 fuzzy tracking control for nonlinear systems via sampled-data controller. Fuzzy Sets Syst 356:92\u2013112. https:\/\/doi.org\/10.1016\/j.fss.2018.02.013","journal-title":"Fuzzy Sets Syst"},{"issue":"2021","key":"10960_CR40","doi-asserted-by":"publisher","first-page":"2195","DOI":"10.1007\/s11424-020-0106-9","volume":"34","author":"X Liu","year":"2021","unstructured":"Liu X, Xia J, Wang J, Shen H (2021) Interval Type-2 fuzzy passive filtering for nonlinear singularly perturbed PDT-switched systems and its application. J Syst Sci Complexity 34(2021):2195\u20132218. https:\/\/doi.org\/10.1007\/s11424-020-0106-9","journal-title":"J Syst Sci Complexity"},{"key":"10960_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TFUZZ.2020.3006587","volume":"99","author":"B Xiao","year":"2020","unstructured":"Xiao B, Lam HK, Zhou H, Gao J (2020) Analysis and design of interval type-2 polynomial-fuzzy-model-based networked tracking control systems. IEEE Trans Fuzzy Syst 99:1\u20131. https:\/\/doi.org\/10.1109\/TFUZZ.2020.3006587","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"8","key":"10960_CR42","doi-asserted-by":"publisher","first-page":"2020","DOI":"10.1109\/TCYB.2016.2594046","volume":"47","author":"H Li","year":"2017","unstructured":"Li H, Wu C, Ji X, Wu L (2017) Fuzzy tracking control for nonlinear networked systems. IEEE Trans Cybernet 47(8):2020\u20132031. https:\/\/doi.org\/10.1109\/TCYB.2016.2594046","journal-title":"IEEE Trans Cybernet"},{"key":"10960_CR43","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1109\/TFUZZ.2020.3046335","volume":"30","author":"GT Ran","year":"2020","unstructured":"Ran GT, Li CJ, Lam HK, Li DY, Han CS (2020) Event-based dissipative control of interval type-2 fuzzy markov jump systems under sensor saturation and actuator nonlinearity. IEEE Trans Fuzzy Syst 30:714\u2013727. https:\/\/doi.org\/10.1109\/TFUZZ.2020.3046335","journal-title":"IEEE Trans Fuzzy Syst"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-10960-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-022-10960-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-10960-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T02:35:23Z","timestamp":1682562923000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-022-10960-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,15]]},"references-count":43,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,4]]}},"alternative-id":["10960"],"URL":"https:\/\/doi.org\/10.1007\/s11063-022-10960-0","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,15]]},"assertion":[{"value":"4 July 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 August 2022","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 that there are no conflicts of interest regarding the publication of this paper. The data used to support this study are currently under embargo. Requests for data will be considered by the corresponding author, and anyone can contact the corresponding author directly if necessary. The requirements for custom code are also considered by the corresponding author.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}