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Article type: Research Article
Authors: Sarkar, Aruna | Deb, Nayanab | Biswas, Animeshb; *
Affiliations: [a] Department of Mathematics, Heramba Chandra College, Kolkata, India | [b] Department of Mathematics, University of Kalyani, Kalyani, India
Correspondence: [*] Corresponding author: Animesh Biswas, Department of Mathematics, University of Kalyani, Kalyani – 741235, India. E-mail: abiswaskln@rediffmail.com.
Abstract: In many cases, use of Pythagorean hesitant fuzzy sets may not be sufficient to characterize uncertain information associated with decision making problems. From that view point the concept of interval-valued Pythagorean hesitant fuzzy sets are introduced in this paper. Considering the flexibility with the general parameters, Archimedean t-conorms and t-norms are applied to develop several operational laws in interval-valued Pythagorean hesitant fuzzy environment. Some characteristics of the developed operators are presented. The newly developed operators are used to derive a methodology for solving multicriteria decision making problems with interval-valued Pythagorean hesitant fuzzy information. Finally, two illustrative examples are provided to establish the validity of the proposed approach and are compared with the existing technique to exhibit its flexibility and effectiveness.
Keywords: Multicriteria decision making, interval-valued Pythagorean fuzzy set, Pythagorean hesitant fuzzy set, Archimedean t-conorm and t-norm, weighted averaging and geometric operators
DOI: 10.3233/IDT-200065
Journal: Intelligent Decision Technologies, vol. 15, no. 4, pp. 511-540, 2021
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