MULTI-CRITERIA GROUP DECISION MAKING WITH HETEROGENEOUS INFORMATION BASED ON IDEAL POINTS CONCEPT

This paper presents a flexible multi-criteria group decision making method based on ideal points concept, which can be used to deal with heterogeneous information(numerical, interval valued and linguistic variable with different granularity and/or semantic) and reflect the Decision Makers' different decision attitudes. The heterogeneous information is homogenized firstly into linguistic variable characterized fuzzy number. To simplify the computations and improve the comprehensibility, the homogenized information is further transformed to the continue linguistic terms set. A new relative closeness measure based on ordered weighted distance is introduced to consider the decision Makers' different decision attitudes. A numerical experiment is used to illustrate the feasibility of the proposed method.