{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T21:17:10Z","timestamp":1783199830710,"version":"3.54.6"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.patcog.2026.114390","type":"journal-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T20:04:19Z","timestamp":1782849859000},"page":"114390","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PD","title":["An intelligent elimination and choice translating reality III model based on neural networks with threshold detection"],"prefix":"10.1016","volume":"180","author":[{"given":"Meng-xian","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong-gang","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian-qiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.patcog.2026.114390_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.119470","article-title":"Power partitioned neutral aggregation operators for T-spherical fuzzy sets: an application to H2 refuelling site selection","volume":"216","author":"Debnath","year":"2023","journal-title":"Expert. Syst. Appl."},{"issue":"1","key":"10.1016\/j.patcog.2026.114390_bib0002","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s10462-024-10980-3","article-title":"Integrated MADM approach based on extended MABAC method with Aczel\u2013Alsina generalized weighted Bonferroni mean operator","volume":"58","author":"Debnath","year":"2024","journal-title":"Artif. Intell. Rev."},{"key":"10.1016\/j.patcog.2026.114390_bib0003","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.110573","article-title":"An extended multi-criteria group decision-making method based on preference ranking under Z-number environments","volume":"149","author":"Li","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.patcog.2026.114390_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.126252","article-title":"A new three-way multi-attribute decision-making with objective risk avoidance coefficients based on q-rung orthopair fuzzy pre-order relations","volume":"268","author":"Lei","year":"2025","journal-title":"Expert. Syst. Appl."},{"issue":"1","key":"10.1016\/j.patcog.2026.114390_bib0005","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.ejor.2021.06.065","article-title":"A hierarchical interval outranking approach with interacting criteria","volume":"298","author":"Fern\u00e1ndez","year":"2022","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.patcog.2026.114390_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.113864","article-title":"ORESTE methodology within a circular intuitionistic fuzzy framework for preferential outranking in hybrid cloud service selection","volume":"185","author":"Chen","year":"2025","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.patcog.2026.114390_bib0007","series-title":"2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM)","first-page":"149","article-title":"Semantic multi-criteria decision making semcdm","author":"Mahmoudi","year":"2009"},{"issue":"1","key":"10.1016\/j.patcog.2026.114390_bib0008","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ejor.2015.07.019","article-title":"ELECTRE: a comprehensive literature review on methodologies and applications","volume":"250","author":"Govindan","year":"2016","journal-title":"Eur. J. Oper. Res."},{"issue":"1","key":"10.1016\/j.patcog.2026.114390_bib0009","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.ejor.2009.01.021","article-title":"PROMETHEE: a comprehensive literature review on methodologies and applications","volume":"200","author":"Behzadian","year":"2010","journal-title":"Eur. J. Oper. Res."},{"issue":"1","key":"10.1016\/j.patcog.2026.114390_bib0010","first-page":"3","article-title":"ELECTRE III: un algorithme de classements fond\u00e9 sur une repr\u00e9sentation floue des pr\u00e9f\u00e9rences en pr\u00e9sence de crit\u00e8res multiples","volume":"20","author":"Roy","year":"1978","journal-title":"Cahiers du Centre d\u2019Etudes de Recherche Op\u00e9rationnelle"},{"issue":"4","key":"10.1016\/j.patcog.2026.114390_bib0011","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1007\/s10700-020-09330-z","article-title":"Multi-criteria sorting decision making based on dominance and opposition relations with probabilistic linguistic information","volume":"19","author":"Peng","year":"2020","journal-title":"Fuzzy Optim. Decis. Mak."},{"key":"10.1016\/j.patcog.2026.114390_bib0012","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1016\/j.ins.2022.06.014","article-title":"An evolutionary approach for inferring the model parameters of the hierarchical ELECTRE III method","volume":"607","author":"Lopez","year":"2022","journal-title":"Inf. Sci."},{"key":"10.1016\/j.patcog.2026.114390_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120618","article-title":"The extended ELECTRE III group decision making method based on regret theory under probabilistic interval-valued hesitant fuzzy environments","volume":"231","author":"Liang","year":"2023","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.patcog.2026.114390_bib0014","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1016\/j.ins.2022.10.081","article-title":"Z-number dominance, support and opposition relations for multi-criteria decision-making","volume":"621","author":"Peng","year":"2023","journal-title":"Inf. Sci."},{"issue":"2","key":"10.1016\/j.patcog.2026.114390_bib0015","doi-asserted-by":"crossref","first-page":"1048","DOI":"10.1111\/itor.12798","article-title":"An ELECTRE III based consensus-reaching process to improve a collective solution","volume":"29","author":"Alvarez","year":"2022","journal-title":"Int. Trans. Oper. Res."},{"key":"10.1016\/j.patcog.2026.114390_bib0016","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120618","article-title":"he extended ELECTRE III group decision making method based on regret theory under probabilistic interval-valued hesitant fuzzy environments","volume":"231","author":"Liang","year":"2023","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.patcog.2026.114390_bib0017","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.omega.2016.11.008","article-title":"A robust ranking method extending ELECTRE III to hierarchy of interacting criteria, imprecise weights and stochastic analysis","volume":"73","author":"Corrente","year":"2017","journal-title":"Omega"},{"key":"10.1016\/j.patcog.2026.114390_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.106662","article-title":"Multiple-criteria decision making, feature selection, and deep learning: a golden triangle for heart disease identification","volume":"125","author":"Najafi","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"2","key":"10.1016\/j.patcog.2026.114390_bib0019","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1016\/j.ejor.2020.02.037","article-title":"Decision analysis for sustainable development: the case of renewable energy planning under uncertainty","volume":"291","author":"Ezbakhe","year":"2021","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.patcog.2026.114390_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.112491","article-title":"Rex: causal discovery based on machine learning and explainability techniques","volume":"172","author":"Renero","year":"2026","journal-title":"Pattern. Recognit."},{"key":"10.1016\/j.patcog.2026.114390_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.112985","article-title":"Dynamic light optimization in vertical farming using an IoT-driven digital twin framework and artificial intelligence","volume":"174","author":"Alves","year":"2025","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.patcog.2026.114390_bib0022","doi-asserted-by":"crossref","DOI":"10.1016\/j.omega.2024.103219","article-title":"Integrating machine learning models to learn potentially non-monotonic preferences for multi-criteria sorting from large-scale assignment examples","volume":"131","author":"Li","year":"2025","journal-title":"Omega"},{"issue":"5","key":"10.1016\/j.patcog.2026.114390_bib0023","doi-asserted-by":"crossref","first-page":"1269","DOI":"10.1007\/s10726-024-09893-x","article-title":"Consensus reaching with dynamic trust relationships and cost-learning in group decision making","volume":"33","author":"Li","year":"2024","journal-title":"Group. Decis. Negot."},{"key":"10.1016\/j.patcog.2026.114390_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.110323","article-title":"Integrating case learning and consensus reaching in multi-criteria group sorting under hybrid assessment information","volume":"146","author":"Zhang","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.patcog.2026.114390_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111307","article-title":"Graph neural network based on graph kernel: a survey","volume":"161","author":"Xu","year":"2025","journal-title":"Pattern. Recognit."},{"key":"10.1016\/j.patcog.2026.114390_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.113472","article-title":"A fully interpretable convolutional neural network for intelligent fault diagnosis of rotating machinery","volume":"180","author":"Gao","year":"2025","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.patcog.2026.114390_bib0027","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1007\/s13042-017-0746-9","article-title":"Multi-criteria decision making based architecture selection for single-hidden layer feedforward neural networks","volume":"10","author":"Wang","year":"2019","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"10.1016\/j.patcog.2026.114390_bib0028","doi-asserted-by":"crossref","first-page":"1691","DOI":"10.1007\/s00521-019-04241-6","article-title":"Research on manufacturing service combination optimization based on neural network and multi-attribute decision making","volume":"32","author":"Yang","year":"2020","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.patcog.2026.114390_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.compind.2020.103373","article-title":"A deep reinforcement learning based multi-criteria decision support system for optimizing textile chemical process","volume":"125","author":"He","year":"2021","journal-title":"Comput. Ind."},{"issue":"2","key":"10.1016\/j.patcog.2026.114390_bib0030","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1016\/j.ejor.2022.06.053","article-title":"Deep preference learning for multiple criteria decision analysis","volume":"305","author":"Martyn","year":"2023","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.patcog.2026.114390_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2020.105972","article-title":"Interpretable neural networks based on continuous-valued logic and multicriteria decision operators","volume":"199","author":"Csisz\u00e1r","year":"2020","journal-title":"Knowl. Based. Syst."},{"key":"10.1016\/j.patcog.2026.114390_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.106899","article-title":"Flood risk assessment using deep learning integrated with multi-criteria decision analysis","volume":"219","author":"Pham","year":"2021","journal-title":"Knowl. Based. Syst."},{"issue":"3","key":"10.1016\/j.patcog.2026.114390_bib0033","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1109\/TEM.2019.2900936","article-title":"An intelligent multiattribute group decision-making approach with preference elicitation for performance evaluation","volume":"67","author":"Duman","year":"2019","journal-title":"IEEE Trans. Eng. Manage"},{"key":"10.1016\/j.patcog.2026.114390_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.omega.2020.102263","article-title":"A hybrid machine learning framework for analyzing human decision-making through learning preferences","volume":"101","author":"Guo","year":"2021","journal-title":"Omega"},{"key":"10.1016\/j.patcog.2026.114390_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121904","article-title":"Jellyfish optimized recurrent neural network for state of health estimation of lithium-ion batteries","volume":"238","author":"Ansari","year":"2024","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.patcog.2026.114390_bib0036","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119951","article-title":"TRNN: an efficient time-series recurrent neural network for stock price prediction","volume":"657","author":"Lu","year":"2024","journal-title":"Inf. Sci."},{"key":"10.1016\/j.patcog.2026.114390_bib0037","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109360","article-title":"Versatile recurrent neural network for wide types of video restoration","volume":"138","author":"Wang","year":"2023","journal-title":"Pattern. Recognit."},{"key":"10.1016\/j.patcog.2026.114390_bib0038","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2024.111434","article-title":"Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities","volume":"155","author":"Saheed","year":"2024","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.patcog.2026.114390_bib0039","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.109234","article-title":"Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction","volume":"136","author":"Li","year":"2023","journal-title":"Pattern. Recognit."},{"key":"10.1016\/j.patcog.2026.114390_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2020.105527","article-title":"Modeling and multi-neighborhood iterated greedy algorithm for distributed hybrid flow shop scheduling problem","volume":"194","author":"Shao","year":"2020","journal-title":"Knowl. Based. Syst."},{"key":"10.1016\/j.patcog.2026.114390_bib0041","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1016\/j.ins.2021.08.070","article-title":"An efficient parallel algorithm for mining weighted clickstream patterns","volume":"582","author":"Huynh","year":"2022","journal-title":"Inf. Sci."},{"issue":"2","key":"10.1016\/j.patcog.2026.114390_bib0042","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1016\/j.ejor.2019.08.043","article-title":"Contingent preference disaggregation model for multiple criteria sorting problem","volume":"281","author":"Kadzi\u0144ski","year":"2020","journal-title":"Eur. J. Oper. Res."},{"issue":"3","key":"10.1016\/j.patcog.2026.114390_bib0043","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1016\/j.ejor.2020.04.013","article-title":"A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples","volume":"286","author":"Liu","year":"2020","journal-title":"Eur. J. Oper. Res."},{"issue":"2","key":"10.1016\/j.patcog.2026.114390_bib0044","first-page":"586","article-title":"Data-driven preference learning methods for value-driven multiple criteria sorting with interacting criteria","volume":"33","author":"Liu","year":"2021","journal-title":"INFORMS. J. Comput."},{"key":"10.1016\/j.patcog.2026.114390_bib0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.118125","article-title":"Stock price prediction for new energy vehicle enterprises: an integrated method based on time series and cloud models","volume":"208","author":"Wang","year":"2022","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.patcog.2026.114390_bib0046","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110896","article-title":"Distance-aware network for physical-world object distribution estimation and counting","volume":"157","author":"Yuan","year":"2025","journal-title":"Pattern. Recognit."},{"issue":"3","key":"10.1016\/j.patcog.2026.114390_bib0047","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1111\/1467-8667.00269","article-title":"Multicriteria planning of post-earthquake sustainable reconstruction","volume":"17","author":"Opricovic","year":"2002","journal-title":"Comput.-Aided Civ. Infrastruct. Eng."},{"issue":"3\u20134","key":"10.1016\/j.patcog.2026.114390_bib0048","first-page":"1","article-title":"TODIMI: basics and application to multicriteria ranking","volume":"16","author":"Gomes","year":"1991","journal-title":"Found Comput. Decis. Sci."},{"key":"10.1016\/j.patcog.2026.114390_bib0049","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2025.113812","article-title":"Decision analytics for Indian culinary tourism: a holistic group approach considering correlation","volume":"185","author":"Debnath","year":"2025","journal-title":"Appl. Soft. Comput."},{"key":"10.1016\/j.patcog.2026.114390_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.111817","article-title":"A decision-making model with new Dice\u2013Jaccard similarity measure: green hydrogen electrolyzer selection","volume":"160","author":"Debnath","year":"2025","journal-title":"Eng. Appl. Artif. Intell."}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326013555?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326013555?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T21:00:41Z","timestamp":1783198841000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320326013555"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":50,"alternative-id":["S0031320326013555"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2026.114390","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An intelligent elimination and choice translating reality III model based on neural networks with threshold detection","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2026.114390","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"114390"}}