Interval-valued dual hesitant fuzzy prioritized aggregation operators based on Archimedean t-conorm and t-norm and their applications to multi-criteria decision making

• Autorzy: Sarkar Arun , Biswas Animesh

Identyfikatory

DOI

10.24425/acs.2021.136887

• Języki publikacji: EN

Abstrakty

EN

Multi-criteria decision making (MCDM) technique and approach have been a trending topic in decision making and systems engineering to choosing the probable optimal options. The primary purpose of this article is to develop prioritized operators to multi-criteria decision making (MCDM) based on Archimedean t-conorm and t-norms (At-CN&t-Ns) under interval-valued dual hesitant fuzzy (IVDHF) environment. A new score function is defined for finding the rank of alternatives in MCDM problems with IVDHF information based on priority levels of criteria imposed by the decision maker. This paper introduces two aggregation operators: At-CN&t-N-based IVDHF prioritized weighted averaging (AIVDHFPWA), and weighted geometric (AIVDHFPWG) aggregation operators. Some of their desirable properties are also investigated in details. A methodology for prioritization-based MCDM is derived under IVDHF information. An illustrative example concerning MCDM problem about a Chinese university for appointing outstanding oversea teachers to strengthen academic education is considered. The method is also applicable for solving other real-life MCDM problems having IVDHF information.

Słowa kluczowe

EN

multi-criteria decision-making; interval-valued dual hesitant fuzzy elements; Archimedean t-conorm and t-norm; prioritized weighted averaging operator; prioritized weighted geometric operator

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2021
• Tom: Vol. 31, No. 1
• Strony: 213--247
• Opis fizyczny: Bibliogr. 44 poz., rys., tab., wzory

Twórcy

autor

Sarkar Arun

• Department of Mathematics, Heramba Chandra College, Kolkata – 700029, India

autor

Biswas Animesh

• Department of Mathematics, University of Kalyani, Kalyani – 741235, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).