Titlebook: Large Scale Interactive Fuzzy Multiobjective Programming; Decomposition Approa Masatoshi Sakawa Book 2000 Springer-Verlag Berlin Heidelberg

hierarchy

书目名称Large Scale Interactive Fuzzy Multiobjective Programming影响因子(影响力)




书目名称Large Scale Interactive Fuzzy Multiobjective Programming影响因子(影响力)学科排名




书目名称Large Scale Interactive Fuzzy Multiobjective Programming网络公开度




书目名称Large Scale Interactive Fuzzy Multiobjective Programming网络公开度学科排名




书目名称Large Scale Interactive Fuzzy Multiobjective Programming被引频次




书目名称Large Scale Interactive Fuzzy Multiobjective Programming被引频次学科排名




书目名称Large Scale Interactive Fuzzy Multiobjective Programming年度引用




书目名称Large Scale Interactive Fuzzy Multiobjective Programming年度引用学科排名




书目名称Large Scale Interactive Fuzzy Multiobjective Programming读者反馈




书目名称Large Scale Interactive Fuzzy Multiobjective Programming读者反馈学科排名

烦忧

Mathematical Preliminaries,ent, called fuzzy decision, is then examined. Fundamental notions and methods of multiobjective, interactive multiobjective, and interactive fuzzy multiobjective linear programming are briefly reviewed. A brief discussion of genetic algorithms is also given.

品牌

,Large Scale Fuzzy Multiobjective 0–1 Programming,pter 7, interactive fuzzy multiobjective 0–1 programming as well as fuzzy multiobjective 0–1 programming, both proposed by the authors, are explained in detail together with several numerical experiments.

BALE

,Large Scale Interactive Multiobjective 0–1 Programming with Fuzzy Numbers,ition procedures, both without and with the fuzzy goals of the decision maker, for deriving a satisficing solution efficiently from an extended Pareto optimal solution set are presented. Several numerical experiments are also given.

MAIM

investigate

Book 2000red systems in most realistic situations when dealing with fuzziness. The book is intended for graduate students, researchers and practitioners in the fields of operations research, industrial engineering, management science and computer science.

Recessive

1434-9922 uman-centered systems in most realistic situations when dealing with fuzziness. The book is intended for graduate students, researchers and practitioners in the fields of operations research, industrial engineering, management science and computer science.978-3-662-00386-2978-3-7908-1851-2Series ISSN 1434-9922 Series E-ISSN 1860-0808

初次登台

Confidential

Large Scale Fuzzy Linear Programming, is shown that the formulated problem can be reduced to a number of independent linear subproblems and the satisficing solution for the decision maker is directly obtained just only by solving the subproblems. Moreover, even if the appropriate conditions are not satisfied, it is shown that the Dantzig-Wolfe decomposition method is applicable.

BORE

Large Scale Fuzzy Multiobjective Linear Programming,or obtaining the satisficing solution for the decision maker. Interactive fuzzy multiobjective linear programming for deriving the satisficing solution for the decision maker by updating the reference membership levels is also presented by utilizing the Dantzig-Wolfe decomposition method.