Interactive multiobjective fuzzy random linear programming: Maximization of possibility and probability

Interactive multiobjective fuzzy random linear programming: Maximization of possibility and probability
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DOI：
10.1016/j.ejor.2007.02.050
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发表时间：
2008-07
期刊：
Eur. J. Oper. Res.
影响因子：
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通讯作者：
H. Katagiri;M. Sakawa;Kosuke Kato;I. Nishizaki
H. Katagiri;M. Sakawa;Kosuke Kato;I. Nishizaki
中科院分区：
其他
文献类型：
--
作者：
H. Katagiri;M. Sakawa;Kosuke Kato;I. Nishizaki

文献摘要

相似文献

本文研究了具有模糊随机变量系数的多目标线性规划问题。在可能性规划和随机规划的基础上，提出了一种既最大化可能性又最大化概率的决策模型。构造了一个交互式算法来获得至少满足弱Pareto最优解的满意解。
This paper considers multiobjective linear programming problems with fuzzy random variables coefficients. A new decision making model is proposed to maximize both possibility and probability, which is based on possibilistic programming and stochastic programming. An interactive algorithm is constructed to obtain a satisficing solution satisfying at least weak Pareto optimality.