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＜電子ブック＞
Fuzzy Geometric Programming / by Bing-Yuan Cao
(Applied Optimization ; 76)

版	1st ed. 2002.
出版者	New York, NY : Springer US : Imprint: Springer
出版年	2002
本文言語	英語
大きさ	XX, 268 p : online resource
著者標目	*Bing-Yuan Cao author SpringerLink (Online service)
件　名	LCSH:Mathematical logic LCSH:Mathematical optimization LCSH:Dynamics LCSH:Nonlinear theories LCSH:Operations research FREE:Mathematical Logic and Foundations FREE:Optimization FREE:Applied Dynamical Systems FREE:Operations Research and Decision Theory
一般注記	List of Figures -- List of Tables -- Preface.-Acknowledgements -- Introduction of Author -- 1. Mathematical Preliminaries -- 2. Fuzzy Posynomial Geometric Programming -- 3. Fuzzy Strongly Dual Results for Fuzzy PGP -- 4. Initial Study of Fuzzy Reverse PGP -- 5. Geometric Programming with Fuzzy Coefficients -- 6. Programming with Fuzzy Variables -- 7. Fuzzy Multi-Objective Programming -- 8. Application of Fuzzy Geometric Programming -- 9. Antinomy and Fuzzy GP Research Directions -- Bibliography -- Index Fuzzy geometric programming was originated by the author in the Proceed­ ing of the second IFSA conferences, 1987(Tokyo) 14 years ago. Later, the paper was invited for formal publication in the International Journal of Fuzzy Sets and Systems. From then on, more and more papers have been written by scholars all over the world who have been interested in its research. So this programming method has been acknowledged by experts and has gradually formed a new branch of fuzzy mathematics. lnspired by Zadeh's fuzzy sets theory, fuzzy geometric programming emerges from the combination of fuzzy sets theory with geometric programming, where models are built in the fuzzy posynomial and the reverse geometric program­ ming. The present book is intended to discuss fuzziness of objective function and constraint conditions, a variety of fuzzy numbers in coefficients and vari­ ables and problems about multi-objective fuzzy geometric programming. It establishes and rounds out an entire theory system, showing that there exist conditions of fuzzy optimal or most satisfactory solutions in fuzzy geometric ptogramming, and it develops some effective algorithms. In order to introduce this new branch, the book aims at the exposition of three points: encompassing ideas and conception, theory and methods, and diffusion and application. lt lays more emphasis on the second point than the first one, and less on the third. Besides, it introduces some knowledge of classical geometric programming and of fuzzy sets theory and application examples of fuzzy geometric programming in electric power systems as weil HTTP:URL=https://doi.org/10.1007/978-1-4615-0009-4

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