An extension of TOPSIS for group decision making
An extension of TOPSIS for group decision making
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DOI：
10.1016/j.mcm.2006.03.023
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发表时间：
2007-04-01
影响因子：
--
通讯作者：
Lee, E. Stanley
中科院分区：
文献类型：
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作者：
Shih, Hsu-Shih;Shyur, Huan-Jyh;Lee, E. Stanley
研究了多属性决策（MADM）技术TOPSIS（technique for order performance by similarity to ideal solution）在群决策环境中的推广。TOPSIS法是一种通过距离测度对多个外部确定的方案进行排序和选择的实用技术。为了更广泛地了解所使用的技术，我们在TOPSIS的每个相应步骤中提供了一些操作选项，例如归一化，距离测量和均值运算符。此外，多个决策者的偏好内部聚合到TOPSIS程序。与以前的开发不同，我们的群体偏好在程序中被聚合。所提出的模型确实是一个统一的过程，它将很容易适用于许多现实世界的决策情况下，不增加计算负担。最后通过算例比较了不同计算组合下群体偏好外部聚合和内部聚合对TOPSIS的影响。结果表明，我们的模型是强大的和有效的。(c)2006爱思唯尔有限公司保留所有权利。
An extension of TOPSIS (technique for order performance by similarity to ideal solution), a multi-attribute decision making (MADM) technique, to a group decision environment is investigated. TOPSIS is a practical and useful technique for ranking and selection of a number of externally determined alternatives through distance measures. To get a broad view of the techniques used, we provide a few options for the operations, such as normalization, distance measures and mean operators, at each of the corresponding steps of TOPSIS. In addition, the preferences of more than one decision maker are intemally aggregated into the TOPSIS procedure. Unlike in previous developments, our group preferences are aggregated within the procedure. The proposed model is indeed a unified process and it will be readily applicable to many real-world decision making situations without increasing the computational burden. In the final part, the effects of external aggregation and internal aggregation of group preferences for TOPSIS with different computational combinations are compared using examples. The results have demonstrated our model to be both robust and efficient. (c) 2006 Elsevier Ltd. All rights reserved.