Weighted similarity measure on interval-valued fuzzy sets and its application to pattern recognition
نویسندگان
1 Department of Statistics, Faculty of Mathematical Sciences and Statis- tics, University of Birjand, Birjand, Iran
2 Department of Engineering Science, College of Engineering, Univer- sity of Tehran, Tehran, P.O. Box 11365-4563, Iran
doi
10.22111/ijfs.2014.1723چکیده
A new approach to define the similarity measure betweeninterval-valued fuzzy sets is presented. The proposed approach isbased on a weighted measure in which the normalized similaritiesbetween lower functions and also between upper functions arecombined by a weight parameter. The properties of this similaritymeasure are investigated. It is shown that, the proposed measurehas some advantages in comparison with the commonly usedsimilarity measures.
