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Fuzzy Relational Mathematical Programming: Linear, Nonlinear and Geometric Programming Models: Studies in Fuzziness and Soft Computing, cartea 389

Autor Bing-Yuan Cao, Ji-Hui Yang, Xue-Gang Zhou, Zeinab Kheiri, Faezeh Zahmatkesh, Xiao-Peng Yang
en Limba Engleză Hardback – 5 dec 2019
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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Specificații

ISBN-13: 9783030337841
ISBN-10: 3030337847
Ilustrații: XIII, 245 p. 12 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.54 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Cham, Switzerland

Cuprins

Chapter 1: Basic Theory of Fuzzy Set.- Chapter 2: Fuzzy Relation.- Chapter 3: Fuzzy Relational Equations/Inequalities.- Chapter 4: Fuzzy Relational Linear Programming.- Chapter 5: Fuzzy Relation Geometric Programming.- Chapter 6: Relational Geometric Programming with Fuzzy Coefficient.- Chapter 7: Fuzzy Relational of Non-linear Optimization.- Chapter 8: Fuzzy Relational Inequality and Its Network Optimization.- Chapter 9: Research Progress of Fuzzy Relational Geometric Programming.

Textul de pe ultima copertă

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. 


Caracteristici

Offers a comprehensive introduction to the field of fuzzy relational mathematical problems
Includes extensive information on the theory and applications of fuzzy geometric programming
Describes numerous models to solve different kind of optimization problems