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.

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Product Description

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.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Studies in Computational Intelligence, 671

Release date

2017

Availability

Expected to ship within 12 - 17 working days

First published

2017

Editors

, ,

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

Barcode

9783319475561

Categories

LSN

3-319-47556-8



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