On Similarity Measures for Fuzzy Sets with Applications to Pattern Recognition, Decision Making, Clustering, and Approximate Reasoning
نویسندگان
چکیده
The paper deals with the well-known notion of similarity measures between fuzzy sets and proposes a variety of similarity measures for fuzzy sets. Moreover, the paper proves that the proposed measures satisfy the properties of the axiomatic definition for similarity measures and introduces several theorems. Several illustrative and practical examples from the areas of pattern recognition, decision making, fuzzy clustering analysis, and approximate reasoning system will be used to present the calculation of these similarity measures between fuzzy sets. The paper concludes with suggestions for future research. c ⃝2017 World Academic Press, UK. All rights reserved.
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تاریخ انتشار 2017