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

سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 98

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شناسه ملی سند علمی:

JR_IJFS-11-5_007

تاریخ نمایه سازی: 31 خرداد 1401

چکیده مقاله:

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.

نویسندگان

M. Arefi

Department of Statistics, Faculty of Mathematical Sciences and Statis- tics, University of Birjand, Birjand, Iran

S. M. Taheri

Department of Engineering Science, College of Engineering, Univer- sity of Tehran, Tehran, P.O. Box ۱۱۳۶۵-۴۵۶۳, Iran

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