International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Evaluation of certainty and uncertainty for Intuitionistic Fuzzy Sets

  • Wang, Hong-Mei (School of Mechatronics, Changwon National University) ;
  • Lee, Sang-Hyuk (Institute for Information and Electronics Research, Inha University)
  • Received : 2010.06.29
  • Accepted : 2010.09.05
  • Published : 2010.12.25
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Abstract

Study about fuzzy entropy and similarity measure on intuitionistic fuzzy sets (IFSs) were proposed, and analyzed. Unlike fuzzy set, IFSs contains uncertainty named hesistancy, which is contained in fuzzy membership function itself. Hence, designing fuzzy entropy is not easy because of ununified entropy definition. By considering different fuzzy entropy definitions, fuzzy entropy is designed and discussed their relation. Similarity measure was also presented and verified its usefulness to evaluate degree of similarity.

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