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dc.contributor.authorUrena, Raquelen
dc.contributor.authorChiclana, Franciscoen
dc.contributor.authorFujita, Hamidoen
dc.contributor.authorHerrera-Viedma, Enriqueen
dc.identifier.citationUrena, R. et al. (2015) Confidence-consistency driven group decision making approach with incomplete reciprocal intuitionistic preference relations. Knowledge-Based Systems, 89, pp. 86-96en
dc.descriptionThis is the reference for the online corrected proof versionen
dc.description.abstractIntuitionistic preference relations constitute a flexible and simple representation format of experts’ preference on a set of alternative options, while at the same time allowing to accommodate degrees of hesitation inherent to all decision making processes. In comparison with fuzzy preference relations, the use of intuitionistic fuzzy preference relations in decision making is limited, which is mainly due to the computational complexity associated to using membership degree, non-membership degree and hesitation degree to model experts’ subjective preferences. In this paper, the set of reciprocal intuitionistic fuzzy preference relations and the set of asymmetric fuzzy preference relations are proved to be mathematically isomorphic. This result can be exploited to use methodologies developed for fuzzy preference relations to the case of intuitionistic fuzzy preference relations and, ultimately, to overcome the computation complexity mentioned above and to extend the use of reciprocal intuitionistic fuzzy preference relations in decision making. In particular, in this paper, this isomorphic equivalence is used to address the presence of incomplete reciprocal intuitionistic fuzzy preference relations in decision making by developing a consistency driven estimation procedure via the corresponding equivalent incomplete asymmetric fuzzy preference relation procedure. Additionally, the hesitancy degree of the reciprocal intuitionistic fuzzy preference relation is used to introduce the concept of expert’s confidence from which a group decision making procedure, based on a new aggregation operator that takes into account not only the experts’ consistency but also their confidence degree towards the opinion provided, is proposed.en
dc.subjectGroup decision makingen
dc.subjectIncomplete informationen
dc.subjectIntuitionistic fuzzy preference relationsen
dc.subjectAsymmetric fuzzy preference relationsen
dc.titleConfidence-consistency driven group decision making approach with incomplete reciprocal intuitionistic preference relationsen
dc.researchgroupCentre for Computational Intelligenceen
dc.funderThis work has been developed with the financing of the Andalusian Excellence research project TIC-5991 and FEDER funds in the Spanish National research project TIN2013-40658-P, the mobility grant programmme awarded by the University of Granada ’s International Office and the University of Granada ‘Strengthening through Short-Visits’ (Ref. GENIL-SSV 2015) programmeen
dc.projectidGENIL-SSV 2015en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en

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