Fuzzy Sets, Rough Sets, Multisets and Clustering (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 671
Release date:	2017
First published:	2017
Editors:	Vicenc Torra • Anders Dahlbom • Yasuo Narukawa
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Hardcover
Pages:	347
Edition:	1st ed. 2017
ISBN-13:	978-3-319-47556-1
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-319-47556-8
Barcode:	9783319475561

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