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Weighted similarity measure on interval-valued fuzzy sets and its application to pattern recognition | ||
Iranian Journal of Fuzzy Systems | ||
مقاله 7، دوره 11، شماره 5، دی 2014، صفحه 67-79 اصل مقاله (417.07 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22111/ijfs.2014.1723 | ||
نویسندگان | ||
M. Arefi ![]() | ||
1Department of Statistics, Faculty of Mathematical Sciences and Statis- tics, University of Birjand, Birjand, Iran | ||
2Department of Engineering Science, College of Engineering, Univer- sity of Tehran, Tehran, P.O. Box 11365-4563, Iran | ||
چکیده | ||
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 are combined 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. | ||
کلیدواژهها | ||
Interval-valued fuzzy set؛ Intuitionistic fuzzy set؛ Pattern recognition؛ Similarity measure | ||
مراجع | ||
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