Overview
- Dedicated to Prof. Sadaaki Miyamoto
- Presents state-of-the-art papers on clustering, multisets, rough sets and fuzzy sets
- All contributions were written by respected experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 671)
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Table of contents (20 chapters)
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Clustering and Classification
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Bags, Fuzzy Bags, and Some Other Fuzzy Extensions
Keywords
About this book
This book is dedicated to Prof. Sadaaki Miyamoto and presents cutting-edge papers in some of the areas in which he contributed. Bringing together contributions by leading researchers in the field, it concretely addresses clustering, multisets, rough sets and fuzzy sets, as well as their applications in areas such as decision-making.
The book is divided in four parts, the first of which focuses on clustering and classification. The second part puts the spotlight on multisets, bags, fuzzy bags and other fuzzy extensions, while the third deals with rough sets. Rounding out the coverage, the last part explores fuzzy sets and decision-making.
Editors and Affiliations
Bibliographic Information
Book Title: Fuzzy Sets, Rough Sets, Multisets and Clustering
Editors: Vicenç Torra, Anders Dahlbom, Yasuo Narukawa
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-47557-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-47556-1Published: 19 January 2017
Softcover ISBN: 978-3-319-83767-3Published: 29 April 2018
eBook ISBN: 978-3-319-47557-8Published: 13 January 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 347
Number of Illustrations: 25 b/w illustrations, 15 illustrations in colour