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This paper introduces a decision-making framework that employs Type-2 Fuzzy Sets (T2FS), focusing on normal and convex membership functions. Decisions are constructed using the intersection of T2FS representing constraints and objectives, and alternatives are ranked based on their similarity to the ideal decision using tailored similarity measures. A case study on hotel selection demonstrates the practical utility and robustness of the framework.

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A Decision-Making Framework Based on Intersection and Similarity Measures for Type-2 Fuzzy Sets

  • 会议论文

  • 发表日期：

    2025年

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  • Pedro Huidobro,
  • Francisco Javier Talavera,
  • Susana Cubillo,
  • Carmen Torres-Blanc,
  • Pablo Hernández-Varela,
  • Jorge Elorza

摘要

This paper introduces a decision-making framework that employs Type-2 Fuzzy Sets (T2FS), focusing on normal and convex membership functions. Decisions are constructed using the intersection of T2FS representing constraints and objectives, and alternatives are ranked based on their similarity to the ideal decision using tailored similarity measures. A case study on hotel selection demonstrates the practical utility and robustness of the framework.