### 抜粋

The uncertainty in real-world decision making originates from several sources, i.e., fuzziness, randomness, ambiguity. These uncertainties exist in the problem description and in the preference information in the mathematical programming model. Handling such uncertainties in the decision making model increases the complexities of the problem and make the solution of the problem is difficult to solve. In this paper, a linear fractional programming is used to solve multi-objective fuzzy random based possibilistic programming problems to address the vague decision maker's preference (aspiration) and ambiguous data (coefficient), in a fuzzy random environment. The developed model plays a vital role in the construction of fuzzy multi-objective linear programming model, which is exposed to various types of uncertainties that should be treated properly. An illustrative example explains the developed model and highlights its effectiveness.

元の言語 | English |
---|---|

ページ（範囲） | 26-32 |

ページ数 | 7 |

ジャーナル | International Journal of Simulation: Systems, Science and Technology |

巻 | 15 |

発行部数 | 1 |

出版物ステータス | Published - 2014 |

### ASJC Scopus subject areas

- Software
- Modelling and Simulation

## フィンガープリント Linear fractional programming for fuzzy random based possibilistic programming problem' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

## これを引用

*International Journal of Simulation: Systems, Science and Technology*,

*15*(1), 26-32.