An outranking method with Dombi aggregation operators based on multi-polar fuzzy Z-numbers for selection of best rehabilitation center

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dc.authorscopusidTofigh Allahviranloo / 8834494700
dc.authorwosidTofigh Allahviranloo / V-4843-2019
dc.contributor.authorUllah, İnayat
dc.contributor.authorAkram, Muhammad
dc.contributor.authorAllahviranloo, Tofigh
dc.date.accessioned2025-04-18T09:55:23Z
dc.date.available2025-04-18T09:55:23Z
dc.date.issued2025
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü
dc.description.abstractUseful decisions are made based on reliable information. The concept of Z-number involves the issue of reliability of information. Multipolar information is particularly important in scenarios involving multiple attributes in a decision making process. There does not exist a study in the literature that conveys multipolar information with reliability. In this research article, the concept of multipolar fuzzy Z-Dombi aggregation operators is first introduced. An outranking method based on the proposed multipolar fuzzy Z-Dombi aggregation operators is then developed. The proposed method is applied to a case study related to the selection of the best rehabilitation centre for the treatment of teenage drug users. The proposed method is compared with four existing techniques in multipolar fuzzy and fuzzy environments to validate the approach. A sensitivity analysis is performed to test the credibility of the study. Further, the Spearman coefficient is calculated for ranking lists obtained by different methods to verify the method's consistency. The study's findings are presented in graphical illustrations for a clear understanding of the results. The method shows validity through consistent comparison with four established techniques. This alignment supports its robustness and relevance in practical applications. Moreover, a positive Spearman correlation coefficient confirms its reliability by aligning rankings with expected outcomes. © 2025 Elsevier Inc.
dc.identifier.citationUllah, I., Akram, M., & Allahviranloo, T. (2025). An outranking method with Dombi aggregation operators based on multi-polar fuzzy Z-numbers for selection of best rehabilitation center. Journal of Industrial Information Integration, 100781.
dc.identifier.doi10.1016/j.jii.2025.100781
dc.identifier.issn2452414X
dc.identifier.scopus2-s2.0-85216543661
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.jii.2025.100781
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6895
dc.identifier.volume44
dc.indekslendigikaynakScopus
dc.institutionauthorAllahviranloo, Tofigh
dc.institutionauthoridTofigh Allahviranloo / 0000-0002-6673-3560
dc.language.isoen
dc.publisherElsevier B.V.
dc.relation.ispartofJournal of Industrial Information Integration
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAggregation Operators
dc.subjectDombi Operations
dc.subjectMulti-Polar Fuzzy Set
dc.subjectOutranking Method
dc.subjectZ-Number
dc.titleAn outranking method with Dombi aggregation operators based on multi-polar fuzzy Z-numbers for selection of best rehabilitation center
dc.typeArticle

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