This chapter delves into the mutually beneficial link that exists between a multi-criteria decision-making (MCDM) process and fuzzy logic, which essentially handles the intricacies of determining actions. The evaluation of MCDM describes its complexities, core ideas, and wide range of industrial applicability. The chapter talks about fuzzy logic and explains how it may be used to embrace ambiguity and uncertainty, providing a more nuanced method of making decisions. It illustrates how the use of fuzzy logic improves the process of determining the course of action, enabling the ones making decisions to confidently traverse complex landscapes through a thorough assessment of the Fuzzy Technique for Order Preference by Similarity to the Ideal Solution (F-TOPSIS) and Fuzzy Analytical Hierarchy (F-AHP) methods. Ultimately, it emphasises the utility of such approaches in real-life scenarios, highlighting their effectiveness in tackling current decision-making problems. This chapter is a thorough manual for comprehending and utilising the complementary strengths of multi-criteria decision-making and fuzzy logic to make wise selections in a variety of fields.

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Fuzzy Logics in Multi-criteria Decision Making Problems

  • Archana Parashar,
  • Renu Negi

摘要

This chapter delves into the mutually beneficial link that exists between a multi-criteria decision-making (MCDM) process and fuzzy logic, which essentially handles the intricacies of determining actions. The evaluation of MCDM describes its complexities, core ideas, and wide range of industrial applicability. The chapter talks about fuzzy logic and explains how it may be used to embrace ambiguity and uncertainty, providing a more nuanced method of making decisions. It illustrates how the use of fuzzy logic improves the process of determining the course of action, enabling the ones making decisions to confidently traverse complex landscapes through a thorough assessment of the Fuzzy Technique for Order Preference by Similarity to the Ideal Solution (F-TOPSIS) and Fuzzy Analytical Hierarchy (F-AHP) methods. Ultimately, it emphasises the utility of such approaches in real-life scenarios, highlighting their effectiveness in tackling current decision-making problems. This chapter is a thorough manual for comprehending and utilising the complementary strengths of multi-criteria decision-making and fuzzy logic to make wise selections in a variety of fields.