An interactive fuzzy satisficing method based on a variance minimization model considering exoectations formultiobiecitve 0-1 programming oroblems involving random variable coefficients

DOI Web Site Web Site 37 References

Bibliographic Information

Other Title
  • 確率変数係数を含む多目的0-1計両問題に対する期待値を考慮した分散最小化モデルに基づく対話型ファジィ満足化手法
  • 確率変数係数を含む多目的0-1計画問題に対する期待値を考慮した分散最小化モデルに基づく対話型ファジィ満足化手法
  • カクリツ ヘンスウ ケイスウ オ フクム タモクテキ 0 1 ケイカク モンダイ ニ タイスル キタイチ オ コウリョ シタ ブンサン サイショウカ モデル ニ モトヅク タイワガタ ファジィ マンゾクカ シュホウ

Search this article

Abstract

In this paper, we focus on multiobjective integer programming problems with random variable coefficients in objective functions and/or constraints. For such multiobjective problems, after reformulation of them on the basis of an expectation optimization model and a variance minimization model for the chance constrained programming in stochastic programming, incorporating fuzzy goals of the decision maker for the objective functions, we propose an interactive fuzzy satisficing method to derive a satisficing solution for the decision maker as a fusion of stochastic programming and fuzzy one. Since some nonliner 0-1 programming problems must be solved in the proposed method, we apply a genetic algorithm with double string using reference solution updating.

Journal

References(37)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top