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The interactive fuzzy linguistic term set and its application in multi-attribute decision making.

Dan Peng1, Jie Wang1, Donghai Liu1

  • 1Department of Mathematics, Hunan University of Science and Technology, Xiangtan, Hunan 411201, PR China.

Artificial Intelligence in Medicine
|September 13, 2022
PubMed
Summary

This study introduces an interactive fuzzy linguistic term set for multi-attribute decision making problems with interacting information. This method enhances decision consistency and effectiveness, advancing artificial intelligence applications.

Keywords:
Decision informationFuzzy setInteractive fuzzy linguistic term setInteractive informationMultiple attribute

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Area of Science:

  • Artificial Intelligence
  • Decision Science
  • Fuzzy Logic

Background:

  • Multi-attribute decision making (MADM) often involves complex, interacting information.
  • Existing methods may struggle to adequately represent these interdependencies.
  • Fuzzy linguistic terms are useful but often lack interactivity representation.

Purpose of the Study:

  • To propose a novel interactive fuzzy linguistic term set (IFLTS).
  • To describe and analyze the properties and advantages of IFLTS for MADM.
  • To demonstrate the application of IFLTS in handling interactive decision information.

Main Methods:

  • Development of the interactive fuzzy linguistic term set concept.
  • Geometric interpretation of IFLTS properties.
  • Application of IFLTS in numerical examples for MADM problems.

Main Results:

  • The proposed IFLTS effectively captures interactive information in MADM.
  • IFLTS demonstrates improved consistency of decision information.
  • Geometric analysis provides insights into IFLTS properties.

Conclusions:

  • The interactive fuzzy linguistic term set offers a robust approach for MADM with interacting information.
  • This method enhances decision-making effectiveness and consistency.
  • The approach contributes to the advancement of artificial intelligence in decision support systems.