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Can I read Fuzzy Relational Mathematical Programming: Linear, Nonlinear And Geometric Programming Models (studies In Fuzziness And Soft Computing) on EtoBox?

Fuzzy Relational Mathematical Programming: Linear, Nonlinear And Geometric Programming Models (studies In Fuzziness And Soft Computing) by Bing-Yuan Cao, Ji-Hui Yang, Xue-Gang Zhou, Zeinab Kheiri, Faezeh Zahmatkesh, Xiao-Peng Yang is a nonfiction available to read on EtoBox.

What is Fuzzy Relational Mathematical Programming: Linear, Nonlinear And Geometric Programming Models (studies In Fuzziness And Soft Computing) about?

"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. ." - Prové de l'editor

Who reads Fuzzy Relational Mathematical Programming: Linear, Nonlinear And Geometric Programming Models (studies In Fuzziness And Soft Computing)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Bing-Yuan Cao, Ji-Hui Yang, Xue-Gang Zhou, Zeinab Kheiri, Faezeh Zahmatkesh, Xiao-Peng Yang
Publisher
Springer International Publishing : Imprint: Springer
Published
2020
Language
EN
ISBN
9783030337865
Category
nonfiction
Subjects
Engineering, Business, Programming

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