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Fuzzy Geometric Programming 2002 ed. [Kõva köide]

  • Formaat: Hardback, 268 pages, kõrgus x laius: 235x155 mm, kaal: 1290 g, XX, 268 p., 1 Hardback
  • Sari: Applied Optimization 76
  • Ilmumisaeg: 31-Oct-2002
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1402008767
  • ISBN-13: 9781402008764
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  • Formaat: Hardback, 268 pages, kõrgus x laius: 235x155 mm, kaal: 1290 g, XX, 268 p., 1 Hardback
  • Sari: Applied Optimization 76
  • Ilmumisaeg: 31-Oct-2002
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1402008767
  • ISBN-13: 9781402008764
Teised raamatud teemal:
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.
List of Figures
ix
List of Tables
xi
Preface xiii
Acknowledgements xvii
Introduction of Author xix
Mathematical Preliminaries
1(22)
Fuzzy Sets and Their Operations
1(3)
Decomposition Theorems of Fuzzy Sets and Convex Fuzzy Sets
4(4)
Fuzzy Matrices and Vectors
8(3)
Geometric Inequality and Properties of PGP
11(4)
Extension Principle and Representation Theorem
15(3)
Fuzzy Functions
18(5)
Fuzzy Posynomial Geometric Programming
23(42)
Basic Knowledge and Properties
23(4)
Fuzzy PGP and Its Properties
27(7)
Dual Programming of Fuzzy PGP
34(8)
Dual Theorem of Fuzzy PGP
42(4)
Primal Algorithm for Fuzzy PGP
46(13)
Dual Algorithm for Fuzzy PGP
59(6)
Fuzzy Strongly Dual Results for Fuzzy PGP
65(30)
Basic Theorem
65(5)
Fuzzy Subconsistency and Converse Theorem
70(7)
Fuzzy Monomial PGP and Its Equivalence
77(4)
Another Proof of A Fuzzy PGP Dual Theorem
81(8)
Fuzzy PGP Classification and Its Corresponding Class Properties
89(6)
Initial Study of Fuzzy Reverse PGP
95(20)
Fuzzy Reverse PGP and Its Dual Form
95(5)
Duality Properties of Fuzzy Reverse PGP
100(6)
Dual Algorithm for Fuzzy Reverse PGP
106(4)
Lagrange Problem of Fuzzy Reverse PGP
110(5)
Geometric Programming with Fuzzy Coefficients
115(34)
Properties of Five Types of Numbers
115(6)
GP with Interval and Fuzzy Valued Coefficients
121(7)
GP with Type (., c) Fuzzy Coefficients
128(7)
GP with L-R Fuzzy Coefficients
135(7)
GP with Flat Fuzzy Coefficients
142(7)
Programming with Fuzzy Variables
149(32)
Basic Knowledge
149(4)
LP Problem with T--Fuzzy Variables
153(5)
GP with T--Fuzzy Variables
158(6)
GP with Trapezoidal Fuzzy Variables
164(9)
Dual Method of Programming with Fuzzy Variables
173(5)
Genetic Algorithm Based on Fuzzy Imitation
178(3)
Fuzzy Multi-Objective Programming
181(34)
Fuzzy-valued-Set on Multi-Objective GP
181(8)
Fuzzy Programming Duality Technique to Multi-Objective GP
189(5)
Multi-Objective GP with Type (., c) Fuzzy Coefficients
194(5)
Multi-Objective GP with Type L-R Fuzzy Coefficients
199(4)
Multi-Objective GP with Flat Fuzzy Coefficients
203(4)
Multi-Objective LP with T--Fuzzy Variables
207(5)
Multi-Objective GP with T--Fuzzy Variables
212(3)
Application of Fuzzy Geometric Programming
215(20)
Fuzzy GP for Seeking Schemes in Waste Water Disposal in Power Plants
215(7)
Application of GP and GP with Fuzzy Coefficients in Supply Radius Option in A City TS
222(6)
Further Study of Fuzzy GP in Optimum Option Supply Radius
228(5)
Application of Multi-Objective Fuzzy GP in Postal Services
233(2)
Antinomy and Fuzzy GP Research Directions
235(20)
Research for Antinomy in Fuzzy LP
235(11)
Antinomy in Fuzzy GP
246(7)
Directions in Fuzzy GP Research
253(2)
Bibliography 255(8)
Index 263