针对属性值信息不完全的多属性群决策问题,从聚类分析的角度,提出了一种新的决策方法.该方法首先整理决策信息,形成数据库,然后依据支持方案的不同将数据库中的数据聚类,进而依据支持数据的多少完成对方案的排序.该方法的特点是易于在计算机上实现,并且评价过程相对客观.最后,给出了一个例子验证了方法的有效性.
To solve the uncertain multi-attribute group decision-making problems, in which the attribute values are partly unknown, one method is given from the perspective of cluster analysis. In this method, our decision-making information is worded to form a database, and then, by the difference of support objects, the dates in the database are clustered, and by the amount of dates, decision-making program ranking is completed. This method could operate with computer and the operating result reflects the fact relatively objectively. Finally, an example is given to show the rationality and effectiveness of the new method.