一种基于语言评价信息的多指标群决策方法

Approach to multiple attribute group decision making with linguistic assessment information

针对一类带有自然语言评价信息的多指标群决策问题,给出一种新的群集结和方案优选方法.首先采用近年来最新发展的LWD算子和LOWA算子直接集结每个决策者给出的自然语言评价信息,以得到群的方案评价值,然后根据语言短语集的自身顺序进行方案优选.利用该方法不仅可以确定最优方案,而且还可得到群决策结果的可信程度.最后给出了一个算例.

With regard to a kind of multiple attribute group decision making problems with linguistic assessment information, a new approach to group aggregation and alternative selection is proposed. Firstly, LWD operator and LOWA operator are used to aggregate the linguistic assessment information given by each decision maker to obtain group assessment information. Then, the optimization alternative(s) is determined by the own order of predefined linguistic term set. Not only the alternative selection results can be determined, but also the credibility degree of the group decision result can be obtained. Finally, a numerical example is used to illustrate the use of the proposed approach.