Hyperbolic Fuzzy TOPSIS Method for Multi-Criteria Decision-Making Problems

Palash Dutta () and Abhilash Kangsha Banik
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Palash Dutta: Dibrugarh University, Department of Mathematics
Abhilash Kangsha Banik: Dibrugarh University, Department of Mathematics

Chapter Chapter 15 in Fuzzy Optimization, Decision-making and Operations Research, 2023, pp 319-341 from Springer

Abstract: Abstract Uncertainty is inherent in decision-making (DM) problems that occur in real-world situations. Numerous methods have been devised, but the idea of fuzzy set (FS) has shown to be the most effective. When it comes to solving DM problems, like the multi-criteria decision-making (MCDM), FS has shown to be highly groundbreaking. There has been made more advancement in this area. Herzberg’s two-factor theory served as the inspiration for the newly proposed hyperbolic fuzzy set (HFS). In this study, a novel HFS-based scoring function is presented. Based on HFS, the Minkowski distance is introduced. Last but not least, a TOPSIS method is constructed based on HFS using the distance measure with some applications.

Keywords: Fuzzy set; Hyperbolic fuzzy set; Score function; Distance measure; TOPSIS (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-35668-1_15

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DOI: 10.1007/978-3-031-35668-1_15

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