Detail publikačního výsledku

Generalization of Fuzzy Clustering for Vaguely Defined Objects

ŽÁK, L.

Originální název

Generalization of Fuzzy Clustering for Vaguely Defined Objects

Anglický název

Generalization of Fuzzy Clustering for Vaguely Defined Objects

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

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

17.09.2001

Nakladatel

n

Místo

Zittau

ISBN

3-9808089-0-4

Kniha

9th Zittau Fuzzy Colloquium

Strany od

268

Strany počet

10

BibTex

@inproceedings{BUT6356,
  author="Libor {Žák}",
  title="Generalization of Fuzzy Clustering for Vaguely Defined Objects",
  booktitle="9th Zittau Fuzzy Colloquium",
  year="2001",
  pages="10",
  publisher="n",
  address="Zittau",
  isbn="3-9808089-0-4"
}