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On this book: Clustering, multisets, rough sets and fuzzy sets
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0002-0368-8037
Toho Gakuen, Naka, Kunitachi, Tokyo, Japan / Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Nagatuta, Midori-ku, Yokohama, Japan.
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))
2017 (English)In: Fuzzy sets, rough sets, multisets and clustering / [ed] Vicenç Torra, Anders Dahlbom & Yasuo Narukawa, Springer, 2017, p. 1-5Chapter in book (Other academic)
Abstract [en]

This chapter gives an overview of the content of this book, and links them with the work of Prof. Sadaaki Miyamoto, to whom this book is dedicated.

Place, publisher, year, edition, pages
Springer, 2017. p. 1-5
Series
Studies in Computational Intelligence, ISSN 1860-949X ; 671
Keywords [en]
Hesitant fuzzy sets, Data mining, Clustering algorithm, Fuzzy clustering
National Category
Computer Sciences
Research subject
Natural sciences; Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-13362DOI: 10.1007/978-3-319-47557-8_1ISI: 000413720000002Scopus ID: 2-s2.0-85009982265ISBN: 978-3-319-47556-1 (print)ISBN: 978-3-319-47557-8 (electronic)OAI: oai:DiVA.org:his-13362DiVA, id: diva2:1071380
Available from: 2017-02-04 Created: 2017-02-04 Last updated: 2018-03-28Bibliographically approved

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Torra, VicençDahlbom, Anders

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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