Confidence Based Consensus Model For Intuitionistic Fuzzy Preference Relations

Intuitionistic fuzzy preference relation are gaining increasing relevance in the field of group decision making as they provide the experts with means to allocate the uncertainty inherent in their proposed opinions. A key issue in this field is to reach a solution accepted by the majority of the members of the group. In this contribution we present a new confidence-consistency based consensus model. Moreover to rank the alternatives we present the implementation of Orlovsky's non-dominance concept to define the fuzzy quantifier guided non-dominance choice degree for intuitionistic fuzzy preference relations.