Estimating unknown values in reciprocal intuitionistic preference relations via asymmetric fuzzy preference relations
Intuitionistic preference relations are becoming increasingly important in the field of group decision making since they present a flexible and simple way to the experts to provide their preference relations, while at the same time allowing them to accommodate a certain degree of hesitation inherent to all decision making processes. In this contribution, we prove the mathematical equivalence between the set of asymmetric fuzzy preference relations and the set of reciprocal intuitionistic fuzzy preference relations. This result is exploited to tackle the presence of incomplete reciprocal intuitionistic fuzzy preference relation in decision making by developing a consistency driven estimation procedure via the corresponding equivalent incomplete asymmetric fuzzy preference relation.
Citation : Chiclana, F., Ureña, R., Fujita, H. and Herrera-Viedma, E. (2015) Estimating unknown values in reciprocal intuitionistic preference relations via asymmetric fuzzy preference relations. In: Vicenc Torra et al. (Eds.): MDAI 2015, LNAI. Springer International Publishing Switzerland
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes