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 experts 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 member of the group. The consensus process to those experts who present higher levels of confidence with the provided opinion. In this contribution we analyse the consensus methods that exists for Intuitionistic Fuzzy Preference Relations and 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.
Citation : Ureña, R., Chiclana, F., Fujita, H. and Herrera-Viedma, E. (2017) Confidence based Consensus Model for Intuitionistic Fuzzy Preference relations. 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT'17), April 5-7, 2017, Barcelona, Spain.
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes