4.7 Article

Entropy, similarity measure of interval-valued intuitionistic fuzzy sets and their applications

期刊

INFORMATION SCIENCES
卷 181, 期 19, 页码 4273-4286

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2011.06.001

关键词

Interval-valued intuitionistic fuzzy set; Entropy; Similarity measure

资金

  1. National Natural Science Foundation of China [11071142]
  2. Ministry of Education Foundation of Humanities and Social Sciences [10YJC630269]
  3. Project of Shandong Province Higher Educational Science and Technology Program [J09LA14]

向作者/读者索取更多资源

In this paper we propose an entropy measure for interval-valued intuitionistic fuzzy sets, which generalizes three entropy measures defined independently by Szmidt, Wang and Huang, for intuitionistic fuzzy sets. We also give an approach to construct similarity measures using entropy measures for interval-valued intuitionistic fuzzy sets. In particular, the proposed entropy measure for interval-valued intuitionistic fuzzy sets can yield a similarity measure. Several illustrative examples are given to demonstrate the practicality and effectiveness of the proposed formulas. We apply the similarity measure to solve problems on pattern recognitions, multi-criteria fuzzy decision making and medical diagnosis. (C) 2011 Elsevier Inc. All rights reserved.

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