Title :
Applying a new similarity measure between general type-2 fuzzy sets to clustering
Author :
Mohamed, Saida S. ; AbdAla, Areeg S.
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;
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2011 IEEE 12th International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4577-0044-6
DOI :
10.1109/CINTI.2011.6108514
