Publication result detail

Clustering of Vaguely Defined Objects

ŽÁK, L.

Original Title

Clustering of Vaguely Defined Objects

English Title

Clustering of Vaguely Defined Objects

Type

Peer-reviewed article not indexed in WoS or Scopus

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 classic clustering methods in which instead fuzzy similarity (fuzzy dissimilarity) of objects, rather than similarity or dissimilarity, is used to define the clustering of fuzzy objects.}

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 classic clustering methods in which instead fuzzy similarity (fuzzy dissimilarity) of objects, rather than similarity or dissimilarity, is used to define the clustering of fuzzy objects.}

Key words in English

fuzzy set, classification, clustering, fuzzy clustering

Authors

ŽÁK, L.

RIV year

2011

Released

13.03.2003

ISBN

1212-5059

Periodical

Archivum Mathematicum

Volume

2003

Number

1

State

Czech Republic

Pages from

38

Pages to

50

Pages count

12

BibTex

@article{BUT41929,
  author="Libor {Žák}",
  title="Clustering of Vaguely Defined Objects",
  journal="Archivum Mathematicum",
  year="2003",
  volume="2003",
  number="1",
  pages="38--50",
  issn="1212-5059"
}