A two-objective-optimization-driven group decision making model under the bipolarity of decision information

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dc.contributor.authorLuo, Ziqian
dc.contributor.authorLiu, Fang
dc.contributor.authorYou, Qirui
dc.contributor.authorPedrycz, Witold
dc.date.accessioned2024-05-19T14:42:02Z
dc.date.available2024-05-19T14:42:02Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractWhen building consensus in group decision making (GDM) under uncertainty, an important yet rarely studied issue is to find the Pareto solutions of multi -objective optimization model. This paper reports a two -objective (2Ob) optimization driven consensus model in GDM by describing the bipolarity of judgements through intuitionistic multiplicative preference relations (IMPRs). First, it is realized that the inherent property of IMPRs is the hesitancy degree. A novel inconsistency index of IMPRs is proposed by combining the effects of hesitancy degree and inconsistency of boundary matrices. Second, the compatibility measure between two IMPRs is utilized to quantify the consensus level (CL) of decision makers. The threshold of acceptable group CL is found to decrease with the order of IMPRs for the first time. A 2Ob optimization model is constructed by minimizing group inconsistency degree and group CL, respectively. Third, the method of equipping two flexibility degrees to each expert is proposed for optimizing individual IMPRs. It is interesting to find that the constructed granularity matrix is different from interval -valued IMPRs. A multi -objective particle swarm optimization algorithm is adopted to obtain a set of Pareto solutions to GDM problems. Case studies are carried out to illustrate the proposed consensus reaching model. The results help to identify how to provide flexible decisions in GDM under some complexity and uncertainty of a practical problem.en_US
dc.description.sponsorshipBagui Scholars Program of Guangxi Zhuang Autonomous Region; National Natural Science Foundation of China [71871072]; Guangxi Natural Science Foundation [2022GXNSFDA035075]en_US
dc.description.sponsorshipThe work was supported by the Bagui Scholars Program of Guangxi Zhuang Autonomous Region, the National Natural Science Foundation of China (No.71871072), and the Guangxi Natural Science Foundation (No. 2022GXNSFDA035075).en_US
dc.identifier.doi10.1016/j.asoc.2024.111439
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-85186588007en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.asoc.2024.111439
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5192
dc.identifier.volume155en_US
dc.identifier.wosWOS:001195919300001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectGroup Decision Making (Gdm)en_US
dc.subjectIntuitionistic Multiplicative Preference Relationen_US
dc.subject(Impr)en_US
dc.subjectConsistency And Consensusen_US
dc.subjectTwo-Objective (2ob) Optimizationen_US
dc.subjectPareto Solutionen_US
dc.titleA two-objective-optimization-driven group decision making model under the bipolarity of decision informationen_US
dc.typeArticleen_US

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