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Fuzzy multi-attribute decision-making: Theory, methods and Applications

In: The Palgrave Handbook of Operations Research

Author

Listed:
  • Zeshui Xu

    (Business School, Sichuan University)

  • Shen Zhang

    (Business School, Sichuan University)

Abstract

Fuzzy information fits well with multi-attribute decision-making. Firstly, fuzzy information is inherently closer to what people think in real life. In many cases, people’s perception of things is not either-or, that is, there is a degree of ambiguity. Secondly, some representations of fuzzy information, such as hesitant fuzzy sets, allow the evaluation values of multiple attributes to exist simultaneously in an information unit. For the above reasons, today’s multi-attribute decision-making methods are almost all based on fuzzy theory. This paper attempts to make a review of fuzzy multi-attribute decision-making. The main purposes are as follows: (1) To help beginners understand the main research contents and basic research methods of fuzzy multi-attribute decision-making; (2) to introduce the classification of these studies and explain the differences between different concepts, approaches and applications, so that readers with some certain decision-making needs can better find the appropriate theory and methods according to the guidance of this paper; (3) to look forward to the future research directions of fuzzy multi-attribute decision-making, and provide some reference for researchers in this field.

Suggested Citation

  • Zeshui Xu & Shen Zhang, 2022. "Fuzzy multi-attribute decision-making: Theory, methods and Applications," Springer Books, in: Saïd Salhi & John Boylan (ed.), The Palgrave Handbook of Operations Research, chapter 0, pages 621-658, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-96935-6_18
    DOI: 10.1007/978-3-030-96935-6_18
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