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

نویسندگان

m. arefi

s. m. taheri

چکیده

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.

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عنوان ژورنال:
iranian journal of fuzzy systems

ناشر: university of sistan and baluchestan

ISSN 1735-0654

دوره 11

شماره 5 2014

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