Weighted similarity measure on interval-valued fuzzy sets and its application to pattern recognition

Author(s):

M. Arefi , S. M. Taheri

Abstract:
A new approach to define the similarity measure between interval-valued fuzzy sets is presented. The proposed approach is based on a weighted measure in which the normalized similarities between lower functions and also between upper functions arecombined by a weight parameter. The properties of this similarity measure are investigated. It is shown that, the proposed measure has some advantages in comparison with the commonly used similarity measures.
Keywords:

Interval , valued fuzzy set , Intuitionistic fuzzy set , Pattern recognition , Similarity measure

Language:
English
Published:
Iranian journal of fuzzy systems, Volume:11 Issue: 5, Oct 2014
Page:
67
https://www.magiran.com/p1330280  
سامانه نویسندگان
  • Arefi، Mohsen
    Author (1)
    Arefi, Mohsen
    (1397) دکتری آمار، دانشگاه صنعتی اصفهان
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