### 抜粋

This paper considers an expectation optimization model using a possibility measure to the objective function in the fuzzy random programming problem, based on possibilistic programming and stochastic programming. The main fuzzy random programming problem is not a well-defined problem due to including random variables and fuzzy numbers. Therefore, in order to solve it analytically, a criterion for goal of objective function is set and the chance constraint are introduced. Then, considering decision maker's subjectivity and flexibility of the original plan, a fuzzy goal for each objective function is introduced. Furthermore, this paper considers that the occurrence probability of each scenario has ambiguity, and is represented as an interval value. Considering this interval of probability, a robust expectation optimization problem is proposed. Main problem is transformed into the deterministic equivalent linear programming problem, and so the analytical solution method extending previous solution approaches is constructed.

元の言語 | English |
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ホスト出版物のタイトル | Advances in Intelligent and Soft Computing |

出版者 | Springer Verlag |

ページ | 285-294 |

ページ数 | 10 |

巻 | 58 |

ISBN（印刷物） | 9783540896180 |

出版物ステータス | Published - 2009 |

外部発表 | Yes |

### 出版物シリーズ

名前 | Advances in Intelligent and Soft Computing |
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巻 | 58 |

ISSN（印刷物） | 18675662 |

### フィンガープリント

### ASJC Scopus subject areas

- Computer Science(all)

### これを引用

*Advances in Intelligent and Soft Computing*(巻 58, pp. 285-294). (Advances in Intelligent and Soft Computing; 巻数 58). Springer Verlag.