A new approach to measuring group consensus in MADM with preference information on alternatives

A new approach is proposed for measuring the group consensus in the multiple attribute decision making (MADM) problems with preference information on alternatives. In the approach, multiple decision makers give their preference information on alternatives in different formats. The uniformity and aggregation processes with fuzzy majority method are employed to obtain the social fuzzy preference relation on the alternatives. Accordingly, an optimization model is constructed to assess the ranking values of the alternatives, based on which the group consensus is measured.