Fuzzy Relational Mathematical Programming - Linear, Nonlinear and Geometric Programming Models (Hardcover, 1st ed. 2020)

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This book summarizes years of research in the field of fuzzy relational programming, with a special emphasis on geometric models. It discusses the state-of-the-art in fuzzy relational geometric problems, together with key open issues that must be resolved to achieve a more efficient application of this method. Though chiefly based on research conducted by the authors, who were the first to introduce fuzzy geometric problems, it also covers important findings obtained in the field of linear and non-linear programming. Thanks to its balance of basic and advanced concepts, and its wealth of practical examples, the book offers a valuable guide for both newcomers and experienced researcher in the fields of soft computing and mathematical optimization.

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Product Description

This book summarizes years of research in the field of fuzzy relational programming, with a special emphasis on geometric models. It discusses the state-of-the-art in fuzzy relational geometric problems, together with key open issues that must be resolved to achieve a more efficient application of this method. Though chiefly based on research conducted by the authors, who were the first to introduce fuzzy geometric problems, it also covers important findings obtained in the field of linear and non-linear programming. Thanks to its balance of basic and advanced concepts, and its wealth of practical examples, the book offers a valuable guide for both newcomers and experienced researcher in the fields of soft computing and mathematical optimization.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Studies in Fuzziness and Soft Computing, 389

Release date

December 2019

Availability

Expected to ship within 12 - 17 working days

First published

2020

Authors

, , , , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

245

Edition

1st ed. 2020

ISBN-13

978-3-03-033784-1

Barcode

9783030337841

Categories

LSN

3-03-033784-7



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