Publication detail

Generalization of Fuzzy Clustering for Vaguely Defined Objects

ŽÁK, L.

Czech title

Zobecnění fuzzy shlukování pro fuzzy objekty

English title

Generalization of Fuzzy Clustering for Vaguely Defined Objects

Type

conference paper

Language

en

Original abstract

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.

Czech abstract

Článek se zabývá zobecněním fuzzy shlukování definované J.C. Bezdekem (FCM) pro vágně definované objekty.

English abstract

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.

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

17.09.2001

Publisher

n

Location

Zittau

ISBN

3-9808089-0-4

Book

9th Zittau Fuzzy Colloquium

Pages count

10

BIBTEX


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