4.5 Article

Similarity measures on intuitionistic fuzzy sets

Journal

PATTERN RECOGNITION LETTERS
Volume 24, Issue 15, Pages 2687-2693

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/S0167-8655(03)00111-9

Keywords

intuitionistic fuzzy sets; similarity measures; pattern recognition

Ask authors/readers for more resources

Intuitionistic fuzzy sets (IFSs), proposed by Atanassov, have gained attention from researchers for their applications in various fields. Then similarity measures between IFSs were developed. In this paper, firstly, some existing measures of similarity are reviewed. Then some examples are applied to show that some existing similarity measures are not always effective in some cases. At the same time, several new similarity measures are proposed and the relationships between some similarity measures are proved. Finally a comparison is made to show the proposed similarity measures are more reasonable than some existing similarity measures in general cases. Therefore, the proposed similarity measures can provide a useful way for measuring IFSs more effectively. (C) 2003 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available