Some Methods of Clustering of Fuzzy Objects

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Anotace: This paper is concerned with the clustering of objects whose properties cannot be described by exact data. These can only be described by fuzzy sets or by linguistic values of previously defined linguistic variables. To cluster these objects we use a generalization of classic clustering methods and we used methods from fuzzy database, fuzzy regulator and extension principle for calculate dissimilarity of these objects

Anotace: This paper is concerned with the clustering of objects whose properties cannot be described by exact data. These can only be described by fuzzy sets or by linguistic values of previously defined linguistic variables. To cluster these objects we use a generalization of classic clustering methods and we used methods from fuzzy database, fuzzy regulator and extension principle for calculate dissimilarity of these objects

fuzzy sets, convex and a normal fuzzy set, extension principle, clustering, hierarchical clustering methods, non-hierarchical clustering methods, fuzzy clustering.

01.10.2001