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Application of Information Measures in Multiple Criteria Decision Making

  • Bahram FarhadiniaEmail author
  • Zeshui Xu
Chapter
Part of the Uncertainty and Operations Research book series (UOR)

Abstract

We are intended to present a number of studies that focus on the distance measure, the similarity measure and the entropy measure for HFSs and some extensions of HFS. All we know that the information measures for HFSs and their extensions are fundamentally important in various fields such as decision making, market prediction, pattern recognition and cluster analysis.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Quchan University of TechnologyQuchanIran
  2. 2.Business SchoolSichuan UniversityChengduChina

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