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Fuzzy relational mathematical progra...

Cao, Bing-Yuan.

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Fuzzy relational mathematical programming = linear, nonlinear and geometric programming models /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fuzzy relational mathematical programming/ by Bing-Yuan Cao ... [et al.].
其他題名:	linear, nonlinear and geometric programming models /
其他作者:	Cao, Bing-Yuan.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xiii, 245 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Programming (Mathematics) -
電子資源:	https://doi.org/10.1007/978-3-030-33786-5
ISBN:	9783030337865

Fuzzy relational mathematical programming = linear, nonlinear and geometric programming models /
Fuzzy relational mathematical programminglinear, nonlinear and geometric programming models /[electronic resource] :by Bing-Yuan Cao ... [et al.]. - Cham :Springer International Publishing :2020. - xiii, 245 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3891434-9922 ;. - Studies in fuzziness and soft computing ;v.389..

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.

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.

ISBN: 9783030337865

Standard No.: 10.1007/978-3-030-33786-5doiSubjects--Topical Terms:

547124
Programming (Mathematics)

LC Class. No.: QA402.5

Dewey Class. No.: 006.3

Fuzzy relational mathematical programming = linear, nonlinear and geometric programming models /
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505 0 $a 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.
520 $a 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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