Aggregating preference ranking with fuzzy Data Envelopment Analysis
Aggregating preference ranking with fuzzy Data Envelopment Analysis
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DOI：
10.1016/j.knosys.2010.03.008
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发表时间：
2010-08
期刊：
影响因子：
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通讯作者：
L. MajidZerafatAngiz;Ali Emrouznejad;A. Mustafa;A. S. Al-Eraqi
中科院分区：
文献类型：
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作者：
L. MajidZerafatAngiz;Ali Emrouznejad;A. Mustafa;A. S. Al-Eraqi
在群体决策中选择最佳方案是最近许多研究的主题。最流行的方法提出的排名的替代品是基于每个替代品的距离理想的替代品。理想的替代方案可能永远不存在，因此排名结果偏向于理想点。本研究的主要目的是计算一个比清晰理想点更真实的模糊理想点。另一方面，最近数据包络分析（DEA）被用来寻找最佳的权重排序的方案。本文提出了一种模糊环境下基于DEA的四阶段综合偏好排序方法。通过一个偏好投票系统的应用，说明了新模型如何应用于一组方案的排序。另外两个例子表明，所提出的方法相比，其他一些建议的方法的优先级。
Selecting the best alternative in a group decision making is a subject of many recent studies. The most popular method proposed for ranking the alternatives is based on the distance of each alternative to the ideal alternative. The ideal alternative may never exist; hence the ranking results are biased to the ideal point. The main aim in this study is to calculate a fuzzy ideal point that is more realistic to the crisp ideal point. On the other hand, recently Data Envelopment Analysis (DEA) is used to find the optimum weights for ranking the alternatives. This paper proposes a four stage approach based on DEA in the Fuzzy environment to aggregate preference rankings. An application of preferential voting system shows how the new model can be applied to rank a set of alternatives. Other two examples indicate the priority of the proposed method compared to the some other suggested methods.