Distance and similarity criteria for fuzzy sets and some of its extensions

Document Type : Original Article

20.1001.1.27174409.1397.1.2.4.7/DOR

Abstract

After the introduction of fuzzy collections by Zadeh, these collections were considered by many researchers and several extensions were introduced. Examples include type fuzzy sets, value range fuzzy sets, intuitive fuzzy sets, and hesitant fuzzy sets. Considering the various applications of these sets in different fields and also considering the importance of distance and similarity criteria in areas such as decision making, pattern recognition, data mining, etc., the study of these criteria for fuzzy sets and its developments is a matter. It is important. Therefore, in this article, some of the distance and similarity criteria introduced for these sets are examined.

Keywords

References

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  • Receive Date: 05 February 2019
  • Accept Date: 16 April 2019

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