Detail publikačního výsledku

Vaguely Defined Objects and Fuzzy Clustering.

ŽÁK, L.

Originální název

Vaguely Defined Objects and Fuzzy Clustering.

Anglický název

Vaguely Defined Objects and Fuzzy Clustering.

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova v angličtině

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

Autoři

ŽÁK, L.

Vydáno

01.06.2001

Nakladatel

VUT FSI

Místo

VUT FSI

ISBN

80-214-1894-X

Kniha

7th International Conference on Soft Computing.

Strany od

311

Strany počet

8

BibTex

@inproceedings{BUT6350,
  author="Libor {Žák}",
  title="Vaguely Defined Objects and Fuzzy Clustering.",
  booktitle="7th International Conference on Soft Computing.",
  year="2001",
  pages="8",
  publisher="VUT FSI",
  address="VUT FSI",
  isbn="80-214-1894-X"
}