Contrast similarity measures of fuzzy sets

Ildar Batyrshin, Olga Kosheleva, Vladik Kreinovich, Nailya Kubysheva, Raouf Akhtiamov

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The paper proposes a new class of fuzzy set similarity measures taking into account the proximity of membership values to the border values 0 and 1. These similarity measures take values in [0, 1] and generalize the crisp weak equality relation of fuzzy sets considered in the theory of fuzzy sets. We present the method constructing a contrast similarity measure using a bipolar function symmetric with respect to 0.5. As a particular case, we consider the similarity measure defined by the contrast intensification operation considered by Lotfi Zadeh.

Original languageEnglish
Pages (from-to)1569-1573
Number of pages5
JournalComputacion y Sistemas
Volume23
Issue number4
DOIs
StatePublished - 2019

Keywords

  • Fuzzy set
  • Similarity function
  • Similarity measure

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