多属性群决策达成一致方法研究

Approach to reaching consensus in multiple attribute group decision making

在群决策过程中,专家对于候选方案的每个属性都提出自己的个体决策信息.关于专家意见的一致化问题,提出一种迭代算法,能自动完成个体意见的一致化,不需要专家修改决策信息.在群体决策矩阵的基础上,用乘性加权集结算子把方案的属性值进行集结,得到方案的群体综合属性值,从而选出最优方案.详细介绍了算法的实现过程,并用一实际例子说明了算法的可行性.

In the process of group decision making,each expert provides the preferences over the alternatives with repect to each attribute,and constructs an individual decision matrix.As to the problem of consensus of the experts＇ decision matrix,an iterative method is proposed to complete consensus among group opinions,which can avoid forcing the experts to modify their opinions.Based on the consentaneous group decision matrix,the approach utilizes the multiplicative weighted aggregation operator to derive the overall attribute values of alternatives,by which the most desirable alternative can be found out.Then the implementation process of the approach is introduced detailedly with a practical example,which demonstrates the feasibility and practicability of the proposed method.