A TOPSIS, VIKOR and DEA integrated evaluation method with belief structure under uncertainty to rank alternatives

A. Amini, A. Alinezhad, Fahimeh Yazdipoor
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引用次数: 9

Abstract

This study proposes a combined method, based on a new compromised solution method and DEA to evaluate the efficiency of DMUs. By using TOPSIS and VIKOR methods two concepts are considered simultaneously. First, the optimal alternative is closer to positive ideal solution and farther from negative ideal solution. Second, the proposed method provides a maximum 'group utility' for the 'majority' and a minimum of an individual regret for the 'opponent'. In this method, weight of efficiency obtained from new compromised solution method is multiplied by the weight of CCR model of DEA. The problem involves BELIEF parameters in the solution procedure. Thus, the new proposed method that applied the advantages of TOPSIS, VIKOR and DEA and BELIEF structure simultaneously was used as a group decision making problem to exploit many experts' judgments. Finally, to illustrate the proposed method, an illustrative example is provided.
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提出了一种不确定条件下具有信念结构的TOPSIS、VIKOR和DEA综合评价方法对备选方案进行排序
本研究提出了一种新的折衷解法与DEA相结合的方法来评价DMUs的效率。通过使用TOPSIS和VIKOR方法同时考虑两个概念。首先,最优方案更接近正理想解,远离负理想解。其次,所提出的方法为“多数”提供了最大的“群体效用”,为“对手”提供了最小的个人遗憾。在该方法中,将新折衷解法得到的效率权值乘以DEA的CCR模型的权值。该问题涉及求解过程中的BELIEF参数。因此,该方法将TOPSIS、VIKOR和DEA的优势与信念结构相结合,作为群体决策问题,利用众多专家的判断。最后,给出了一个实例来说明所提出的方法。
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