基于前景理论的多属性决策方法研究
首发时间:2015-03-27
摘要:对于属性值以直觉梯形模糊数给出的,且状态概率与属性权重皆为区间数的风险型多属性决策问题,提出一种基于前景理论的决策方法。首先,通过给出同一指标下的最大值和最小值作为参考点,分别建立损失与收益矩阵;并通过前景理论分别转化为损失和收益前景决策矩阵;进一步的运用证据理论进行融合,分别得到损失和收益的前景值;然后利用TOPSIS的思想对最后的区间结果值进行排序。最后利用算例说明该方法的可行性和准确性。
关键词: 管理工程 直觉梯形模糊数 区间数 前景理论 证据理论
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Method for Multiple Attribute Decision-making based on Prospect Theory
Abstract:A method based on prospect theory is proposed to solve multiple attribute decision-making problem,where attribute value is in form of trapezoidal fuzzy number,the probabilities and attribute weights are in form of interval numbers. Firstly, the maximum and minimum value in the same attribute are regarded as the reference points, and the losses and gains matrix are established; Furthermore, the losses and gains matrix are changed into losses and gains prospect matrix by prospect theory; Moreover, losses and gains prospect values are calculated based on evidence theory, and use the TOPSIS method to rank the interval numbers. Finally, an example is used to illustrate the feasibility and accuracy of the method.
Keywords: Management engineering trapezoidal fuzzy number interval numbers prospect theory evidence theory
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