Multi-criteria decision making with Hamacher aggregation operators based on multi-polar fuzzy Z-numbers

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dc.authorscopusidTofigh Allahviranloo / 8834494700
dc.authorwosidTofigh Allahviranloo / V-4843-2019
dc.contributor.authorUllah, Inayat
dc.contributor.authorAkram, Muhammad
dc.contributor.authorAllahviranloo, Tofigh
dc.date.accessioned2025-04-18T10:09:57Z
dc.date.available2025-04-18T10:09:57Z
dc.date.issued2025
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü
dc.description.abstractMulti-polar fuzzy sets are crucial for capturing and representing diverse opinions or conflicting criteria in decision-making processes with greater flexibility and precision. While, Z-numbers are important for effectively modeling uncertainty by incorporating both the reliability of information and its degree of fuzziness, enhancing decision-making in uncertain environments. To date, no model in the literature exhibits the properties of multi-polar fuzzy sets and Z-numbers. In this article, we introduce a new concept of multi-polar fuzzy Z-number and Hamacher operations for multi-polar fuzzy Z-numbers. Based on the Hamacher operations, we propose aggregation operators for multi-polar fuzzy Z-numbers, namely, multi-polar fuzzy Z-number Hamacher weighted averaging operator, multi-polar fuzzy Z-number Hamacher ordered weighted averaging operator, multi-polar fuzzy Z-number Hamacher weighted geometric operator and multi-polar fuzzy Z-number Hamacher ordered weighted geometric operator. Additionally, we develop a decision-making model based on the proposed Hamacher aggregation operators. Further, we apply the proposed technique to a couple of case studies to check the validity and authenticity of the proposed methodology. Finally, we compare the outcomes of the study with several existing techniques to assess the accuracy of the proposed model. © 2024 Elsevier Inc.
dc.identifier.citationUllah, I., Akram, M., & Allahviranloo, T. (2025). Multi-criteria decision making with Hamacher aggregation operators based on multi-polar fuzzy Z-numbers. Information Sciences, 694, 121707.
dc.identifier.doi10.1016/j.ins.2024.121707
dc.identifier.issn00200255
dc.identifier.scopus2-s2.0-85210271059
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.ins.2024.121707
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6971
dc.identifier.volume694
dc.indekslendigikaynakScopus
dc.institutionauthorAllahviranloo, Tofigh
dc.institutionauthoridTofigh Allahviranloo / 0000-0002-6673-3560
dc.language.isoen
dc.publisherElsevier Inc.
dc.relation.ispartofInformation Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleMulti-criteria decision making with Hamacher aggregation operators based on multi-polar fuzzy Z-numbers
dc.typeArticle

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