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Novel Intuitionistic Fuzzy Decision Making Models in the Framework of Decision Field Theory

  • Zhinan HaoEmail author
  • Zeshui Xu
  • Hua Zhao
Chapter
  • 22 Downloads
Part of the Uncertainty and Operations Research book series (UOR)

Abstract

Most of the existing intuitionistic fuzzy decision-making methods depend on various aggregation operators that provide collective intuitionistic fuzzy values of alternatives to be ranked. Such collective information only depicts the overall characteristics of the alternatives but ignores the detailed contrasts among them. Most important of all, the current decision making procedure is not in accordance with the way that the decision-makers think about the decision making problems. This chapter studies a novel intuitionistic fuzzy decision making model in the framework of decision field theory. The decision making model emphasizes the contrasts among alternatives concerning each attribute that competes and influences each other, and thus, the preferences for alternatives can dynamically evolve and provide the final optimal result.

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Command and Control Engineering CollegeArmy Engineering University of PLANanjingChina
  2. 2.Business SchoolSichuan UniversityChengduChina
  3. 3.Department of General EducationArmy Engineering University of PLANanjingChina

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