DocumentCode
2726812
Title
Applying a new similarity measure between general type-2 fuzzy sets to clustering
Author
Mohamed, Saida S. ; AbdAla, Areeg S.
fYear
2011
fDate
21-22 Nov. 2011
Firstpage
283
Lastpage
286
Abstract
The similarity measure between fuzzy sets is an important concept to determine the degree of similarity between two fuzzy data sets. In this paper, we propose a new similarity measure between general type-2 fuzzy sets, then we apply this new measure to two examples and finally we use it in clustering type-2 Gaussian fuzzy data sets using using Yang and Shih´s method.
Keywords
Gaussian processes; fuzzy set theory; pattern clustering; Shih method; Yang method; clustering; general type-2 fuzzy sets; similarity measure; type-2 Gaussian fuzzy data sets; Clustering algorithms; Clustering methods; Computational intelligence; Fuzzy sets; Informatics; Multimedia databases; Uncertainty; Clustering; Fuzzy sets; Similarity measure; Type-2 fuzzy sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Informatics (CINTI), 2011 IEEE 12th International Symposium on
Conference_Location
Budapest
Print_ISBN
978-1-4577-0044-6
Type
conf
DOI
10.1109/CINTI.2011.6108514
Filename
6108514
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