针对多指标多标度大群体决策问题,提出了一种基于证据推理的决策方法。首先将参与决策人针对各指标给出的方案评价信息转化为关于指标评价标度的概率分布,然后运用证据推理方法将针对不同指标的概率分布形式的群体评价信息进行集结,得到关于综合评价标度分布形式的群体综合评价信息,在此基础上计算每个方案的效用值,并据此对方案进行排序。最后,通过一个实例说明了本文提出方法的可行性和有效性。本文的方法为解决大群体决策问题提供了一种新途径,具有实际应用价值。
This paper proposes a method for large group decision making with multi-attribute and multi-identifier based on evidential reasoning.Firstly,the evaluation information of each alternative with regard to each attribute given by the decision making participants is transformed into the probability distribution of attribute identifiers.Then,the group evaluation information in the form of the probability distribution of attribute identifiers with regard to each attribute is integrated using evidential reasoning approach,and the comprehensive group evaluation information in the form of the probability distribution of general identifiers is obtained.Furthermore,the ranking result of alternatives is obtained by calculating the utility of each alternative.Finally,a numerical example is used to illustrate the feasibility and validity of proposed method.The method provides a new way to solve the large group decision making problem and has practical application value.