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New method for hybrid multiple attribute decision-making problems with decision maker's aspiration level

机译:具有决策者期望水平的混合多属性决策问题的新方法

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How can we account for decision maker's aspiration level in multiple attribute decision-making problems? This is a question that has recently gained much scholarly attention. This study draws on the prospect theory and the Dempster-Shafer theory to propose a method that can resolve this issue. First, the precise and interval numbers and linguistic labels are compared, and then, the decision matrix is transformed into a prospect decision matrix on the basis of decision maker's aspiration level. Second, the Dempster-Shafer theory is applied to aggregate the prospect values of all alternatives on each attribute using their prospect belief intervals. Third, the orders of alternatives are obtained for all decision methods by comparing prospect belief intervals. Final, the effectiveness and feasibility of the proposed method are demonstrated by using an illustrative example.
机译:在多属性决策问题中,我们如何解释决策者的期望水平?这个问题最近引起了学术界的广泛关注。本研究借鉴了前景理论和Dempster-Shafer理论,提出了一种可以解决这一问题的方法。首先,将精确数和区间数以及语言标签进行比较,然后,根据决策者的期望水平,将决策矩阵转换为前景决策矩阵。其次,运用Dempster-Shafer理论,使用其前景置信区间汇总每个属性上所有替代项的预期值。第三,通过比较预期置信区间,获得所有决策方法的替代顺序。最后,通过一个实例说明了该方法的有效性和可行性。

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