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

In: Fuzzy Optimization, Decision-making and Operations Research

Author

Listed:
  • Palash Dutta

    (Dibrugarh University, Department of Mathematics)

  • Abhilash Kangsha Banik

    (Dibrugarh University, Department of Mathematics)

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.

Suggested Citation

  • Palash Dutta & Abhilash Kangsha Banik, 2023. "Hyperbolic Fuzzy TOPSIS Method for Multi-Criteria Decision-Making Problems," Springer Books, in: Chiranjibe Jana & Madhumangal Pal & Ghulam Muhiuddin & Peide Liu (ed.), Fuzzy Optimization, Decision-making and Operations Research, chapter 0, pages 319-341, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-35668-1_15
    DOI: 10.1007/978-3-031-35668-1_15
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