Multicriteria Group Decision Making Based on TODIM and PROMETHEE II Approaches with Integrating Quantum Decision Theory and Linguistic Z Number in Renewable Energy Selection

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dc.authorscopusidTofigh Allahviranloo / 8834494700
dc.authorscopusidSovan Samanta / 56004890200
dc.authorwosidTofigh Allahviranloo / V-4843-2019
dc.authorwosidSovan Samanta / C-6054-2017
dc.contributor.authorMandal, Prasenjit
dc.contributor.authorMrsic, Leo
dc.contributor.authorKalampakas, Antonios
dc.contributor.authorAllahviranloo, Tofigh
dc.contributor.authorSamanta, Sovan
dc.date.accessioned2025-04-16T19:32:21Z
dc.date.available2025-04-16T19:32:21Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü
dc.description.abstractDecision makers (DMs) are often viewed as autonomous in the majority of multicriteria group decision making (MCGDM) situations, and their psychological behaviors are seldom taken into account. Once more, we are unable to prevent both positive and negative flows of varying alternative preferences due to the nature of attributes or criteria in complicated decision-making problems. However, DMs’ perspectives are likely to affect one another in complicated MCGDM issues, and they frequently use subjective limited rationality while making decisions. The multicriteria quantum decision theory-based group decision making integrating the TODIM-PROMETHEE II strategy under linguistic Z-numbers (LZNs) is designed to overcome the aforementioned problems. In our established technique, the PROMETHEE II controls the positive and negative flows of distinct alternative preferences, the TODIM method manages the experts’ personal regrets over a criterion, and the quantum probability theory (QPT) addresses human cognition and behavior. Because LZNs can convey linguistic judgment and trustworthiness, we provide expert LZNs for their viewpoints in this work. We determine the criterion weights for each expert after first obtaining their respective expert weights. Second, to represent the limited rational behaviors of the DMs, the TODIM-PROMETHEE II approach is introduced. It is employed to determine each alternative’s dominance in both positive and negative flows. Third, a framework for quantum possibilistic aggregation is developed to investigate the effects of interference between the views of DMs. The views of DMs are seen in this procedure as synchronously occurring wave functions that affect the overall outcome by interfering with one another. The model’s efficacy is then assessed by a selection of renewable energy case studies, sensitive analysis, comparative analysis, and debate. © 2024 by the authors.
dc.identifier.citationMandal, P., Mrsic, L., Kalampakas, A., Allahviranloo, T., & Samanta, S. (2024). Multicriteria Group Decision Making Based on TODIM and PROMETHEE II Approaches with Integrating Quantum Decision Theory and Linguistic Z Number in Renewable Energy Selection. Mathematics, 12(23), 3790.
dc.identifier.doi10.3390/math12233790
dc.identifier.issn22277390
dc.identifier.issue23
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.3390/math12233790
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6050
dc.identifier.volume12
dc.identifier.wosWOS:001376447900001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorAllahviranloo, Tofigh
dc.institutionauthorSamanta, Sovan
dc.institutionauthoridTofigh Allahviranloo / 0000-0002-6673-3560
dc.institutionauthoridSovan Samanta / 0000-0003-3200-8990
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofMathematics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectGroup Decision Making
dc.subjectLinguistic Z Number
dc.subjectQuantum Decision Theory
dc.subjectTODIM-PROMETHEE II
dc.titleMulticriteria Group Decision Making Based on TODIM and PROMETHEE II Approaches with Integrating Quantum Decision Theory and Linguistic Z Number in Renewable Energy Selection
dc.typeArticle

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