Detail publikace

Using of Fuzzy Regulator in Clustering of Vaguely Define Objects

ŽÁK, L.

Anglický název

Using of Fuzzy Regulator in Clustering of Vaguely Define Objects

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

Originální abstrakt

The clustering of objects is one of the areas of data mining. Recently are more and more processed data described by vague values. It seems useful to cluster these data also respecting their uncertainty. This paper concerns with clustering of such data. I define fuzzy object (object described by fuzzy sets), fuzzy similarity and dissimilarity of these ones and clustering of them. This paper follows with papers presented at previous conferences. These papers describe clustering of fuzzy objects using extension principle (Zittau 2000) and generalization of fuzzy clustering methods (defined by J.C. Bezdek) for fuzzy objects (Zittau 2001). In this paper I use fuzzy objects and their basic characteristics and define similarity of fuzzy objects by suitable choice of fuzzy regulator. The input is a pair of fuzzy objects and the output is a fuzzy set describing their similarity. Clustering exploiting this similarity was simulated in Matlab-Fuzzy Logic ToolBox.

Klíčová slova anglicky

cvlustering, fuzzy sets, fuzzy clustering

Vydáno

2002-09-04

Nakladatel

IPM Hochschule Zittau

Místo

Zittau

ISBN

3-9808089-2-0

Kniha

10th Zittau Fuzzy Colloquium

Strany od–do

311–320

Počet stran

9

BIBTEX


@inproceedings{BUT9659,
  author="Libor {Žák}",
  title="Using of Fuzzy Regulator in Clustering of Vaguely Define Objects",
  booktitle="10th Zittau Fuzzy Colloquium",
  year="2002",
  pages="311--320",
  publisher="IPM Hochschule Zittau",
  address="Zittau",
  isbn="3-9808089-2-0"
}