A Method for Consensus Analysis in Hybrid Multiple Attribute Group Decision Making
Jiye Liang · Zhongguo guanli kexue · 2011
An approach of consensus analysis among group opinions is proposed considering the problem of hybrid multiple attribute group decision making which involves real numbers,interval numbers and linguistic assessments.In calculating the degree of group consensus,the proposed approach obtains the degree of group consensus by spotting the difference of any pair of experts according to their evaluattion information with respect to each attribute.In the process of calculating,data type does not need any conversion,which,in turn,secures no information losses.When the group is not in consensus,a feedback mechanism is developed on the attribute level to prompt the experts to revise the evaluation information of relevant attribute,thus to reach the group consensus.Experts target revising the relevant attribute of evaluation information making the group agree each other as soon as possible.At the same time,excessive modification of evaluation information can be avoided.Finally,an example is given to illustrate the feasibility and validity of the proposed method.