his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Fuzzy, I-fuzzy, and H-fuzzy partitions to describe clusters
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0002-0368-8037
Departement of Computer Science Shahid Bahonar University of Kerman, Iran.
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))
2016 (English)In: Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on, IEEE, 2016, 524-530 p.Conference paper (Refereed)
Abstract [en]

In this paper we discuss how three types of fuzzy partitions can be used to describe the results of three types of cluster structures. Standard fuzzy partitions are suitable for centroid based clusters, and I-fuzzy partitions for clusters represented by segments or lines (e.g., c-varieties). In this paper, we introduce hesitant fuzzy partitions. They are suitable for clusters defined by sets of centroids. Because of that, we show that they are useful for hierarchical clustering. We also establish the relationship between hesitant fuzzy partitions and I-fuzzy partitions.

Place, publisher, year, edition, pages
IEEE, 2016. 524-530 p.
Keyword [en]
Cluster structure, Fuzzy partition, Hier-archical clustering, nocv2, Standard fuzzy partition
National Category
Computer Science
Identifiers
URN: urn:nbn:se:his:diva-13360DOI: 10.1109/FUZZ-IEEE.2016.7737731ISI: 000392150700072ScopusID: 2-s2.0-85006751117ISBN: 978-1-5090-0626-7 (print)ISBN: 978-1-5090-0625-0 (electronic)OAI: oai:DiVA.org:his-13360DiVA: diva2:1071377
Conference
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 24-29 July 2016, Vancouver, Canada
Available from: 2017-02-04 Created: 2017-02-04 Last updated: 2017-02-16Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Torra, VicençDahlbom, Anders
By organisation
School of InformaticsThe Informatics Research Centre
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 16 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf