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首页> 外文会议>International Conference on Electronic Business（ICEB 2004) vol.2; 20041205-09; Beijing(CN) >A Multi-Attribute Group Decision Approach Based on Rough Set Theory and Application in Supply Chain Partner Selection
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A Multi-Attribute Group Decision Approach Based on Rough Set Theory and Application in Supply Chain Partner Selection

机译：基于粗糙集理论的多属性群决策方法及其在供应链合作伙伴选择中的应用

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摘要

In multi-attribute group decision, decision makers (DMs) are willing or able to provide only incomplete information because of time pressure, lack of knowledge or data, and their limited expertise related with problem domain, so the alternative sets judged by different decision makers are inconsistent in allusion to a certain decision problem, how to form consistent alternative sets becomes a very important problem. There have been a few studies considering incomplete information in group settings, but few papers consider the adjustment of inconsistent alternative sets. We suggest a method, utilizing individual decision results to form consistent alternative sets based on Rough Set theory. The method can be depicted as follows: (1) decision matrix of every decision maker is transformed to decision table through an new discretization algorithm of condition attributes ; (2) we analyze the harmony of every DM in order to filter some extra alternatives with the result that new alternative sets are formed; (3) if the new alternative sets of different DMs are inconsistent all the same, learning quality of DMs for any inconsistent alternative is a standard of accepting the alternative .
机译：在多属性小组决策中，由于时间压力，缺乏知识或数据以及他们与问题领域相关的专业知识有限，决策者（DM）愿意或仅能够提供不完整的信息，因此由不同决策者判断的备选集与某个决策问题不一致时，如何形成一致的替代集成为非常重要的问题。有一些研究考虑了小组设置中信息的不完整，但是很少有论文考虑了不一致替代集的调整。我们建议一种方法，该方法利用个体决策结果基于粗糙集理论形成一致的替代集。该方法可以描述如下：（1）通过一种新的条件属性离散化算法，将每个决策者的决策矩阵转化为决策表； （2）我们分析每个DM的协调性，以过滤一些额外的替代方案，从而形成新的替代方案集； （3）如果不同DM的新替代集不一致，则对于任何不一致替代的DM学习质量是接受替代的标准。

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