A New Similarity Measures of Intuitionistic Fuzzy Sets and Application to Pattern Recognitions

Abstract:

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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 a new similarity measure is proposed and the relationships between some similarity measures are proved. Finally, the similarity measures of IFSs is applied to pattern recognition and the proposed similarity measures can provide a useful way for measuring IFSs more effectively.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

160-164

DOI:

10.4028/www.scientific.net/AMR.219-220.160

Citation:

Y. B. Gong "A New Similarity Measures of Intuitionistic Fuzzy Sets and Application to Pattern Recognitions", Advanced Materials Research, Vols. 219-220, pp. 160-164, 2011

Online since:

March 2011

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Price:

$35.00

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