RandomFuzzy Multiobjective Linear Programming Through Probability Maximization
RandomFuzzy Multiobjective Linear Programming Through Probability Maximization
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发表时间：
2012
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通讯作者：
H. Yano;Kota Matsui
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作者：
H. Yano;Kota Matsui
在本文中，我们通过概率最大化模型提出了一种用于随机模糊多目标线性规划问题（RFMOLP）的交互式决策方法。在所提出的方法中，假设决策者不仅对概率最大化模型的允许目标水平有模糊目标，而且对相应的分布函数值也有模糊目标。利用模糊决策，将这两种隶属函数集成起来。在综合隶属度空间中，通过与决策者的交互，从帕累托最优解集中得到满意的解。
In this paper, we propose an interactive decision making method for random fuzzy multiobjective linear programming problems (RFMOLP) through a probability maximization model. In the proposed method, it is assumed that the decision maker has fuzzy goals for not only permissible objective levels of a probability maximization model but also the corresponding distribution function values. Using the fuzzy decision, such two kinds of membership functions are integrated. In the integrated membership space, a satisfactory solution is obtained from among a Pareto optimal solution set through the interaction with the decision maker.