Generalization of Fuzzy Clustering for Vaguely Defined Objects

článek ve sborníku ve WoS nebo Scopus

angličtina

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 fuzzy clustering methods (define by Bezdek) for vaguely define objects and generalization notion membership object to clusters.

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

ŽÁK, L.

2001

17. 9. 2001

n

Zittau

3-9808089-0-4

9th Zittau Fuzzy Colloquium

268

277

10