Publication detail

Vaguely Defined Objects and Fuzzy Clustering.

ŽÁK, L.

Czech title

Vágně definované objekty při fuzzy shlukování

English title

Vaguely Defined Objects and Fuzzy Clustering.

Type

conference paper

Language

en

Original abstract

This article discusses the clustering of objects, which characteristics cannot be described by exact data. These ones can be described by fuzzy sets or linguistic values of beforehand 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.

Czech abstract

Článek popisuje chování vágneě definovaných objektů při shlukování.

English abstract

This article discusses the clustering of objects, which characteristics cannot be described by exact data. These ones can be described by fuzzy sets or linguistic values of beforehand 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.

Keywords in English

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

RIV year

2001

Released

01.06.2001

Publisher

VUT FSI

Location

VUT FSI

ISBN

80-214-1894-X

Book

7th International Conference on Soft Computing.

Pages count

8

BIBTEX


@inproceedings{BUT6350,
  author="Libor {Žák},
  title="Vaguely Defined Objects and Fuzzy Clustering.",
  booktitle="7th International Conference on Soft Computing.",
  year="2001",
  month="June",
  publisher="VUT FSI",
  address="VUT FSI",
  isbn="80-214-1894-X"
}