GROUP DECISION AIDING FOR MULTI-ACTORS DISCORDANT PREFERENCES

摘要

There are many practical decision aiding problems where decision makers' preferences may be inconsistent and contradictory. In this paper, new methods for ordering and classifying multi-attribute objects by collective discordant preferences are suggested. These methods are based on the theory of multiset metric spaces. The proposed techniques are applied to ranking companies and a competitive selection of projects, which are estimated differently by several experts upon multiple qualitative criteria.