Arbaiy, Nureize and Watada, Junzo (2011) *Multi-level multi-objective decision problem through fuzzy random regression based objective fucntion.* In: 2011 IEEE International Conference on Fuzzy Systems, 27-30 June 2011, Taipei, Taiwan.

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## Abstract

A multi-level decision making problem confronts several issues especially in coordinating decision in hierarchic processes and in compromising conflicting objectives for each decision level. Therefore, its mathematical model plays a pivotal role in solving such problem, and is influencing to the final result. However, it is sometimes difficult to estimate the coefficients of objective functions of the model in real situations specifically when the statistical data contain random and fuzzy information. Thus, decision making scheme should provide an appropriate method to handle the presence of such uncertainties. Hence, this paper proposes a fuzzy random regression method to estimate the coefficients value for the objective functions of multi-level multi-objective model. The algorithm is constructed to obtain a satisfaction solution, which fulfills at least weak Pareto optimality. A numerical example illustrates the proposed solution procedure.

Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | fuzzy random regression model;multi-level problem; multi-objective; additive fuzzy goal programming |

Subjects: | Q Science > QA Mathematics |

Divisions: | Faculty of Computer Science and Information Technology > Department of Software Engineering |

ID Code: | 2968 |

Deposited By: | Normajihan Abd. Rahman |

Deposited On: | 22 Jan 2013 18:41 |

Last Modified: | 21 Jan 2015 15:12 |

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