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dc.contributor.authorCabrerizo, F. J.en
dc.contributor.authorPedrycz, Witolden
dc.contributor.authorChiclana, Franciscoen
dc.contributor.authorHerrera-Viedma, Enriqueen
dc.date.accessioned2014-10-07T09:03:05Z
dc.date.available2014-10-07T09:03:05Z
dc.date.issued2014-09
dc.identifier.citationCabrerizo, F.J., Pedrycz, W., Chiclana, F. and Herrera-Viedma, E. (2014) Improving consistency in fuzzy preference relations with an allocation of information granularity. In: Hamido Fujita, Ali Selamat, Habibollah Haron (Eds.): New Trends in Software Methodologies, Tools and Techniques. Series Frontiers in Artificial Intelligence and Applications, Volume 265.en
dc.identifier.isbn9781614994336
dc.identifier.urihttp://hdl.handle.net/2086/10315
dc.description.abstractAn important issue to bear in mind in Group Decision Making situations is that of consistency. However, the expression of consistent preferences is often a very difficult task for the decision makers, specially in decision problems with a high number of alternatives and when decision makers use fuzzy preference relations to provide their opinions. It leads to situations where a decision maker may not be able to express all his/her preferences properly and without contradiction. To overcome this problem, we propose the concept of the information granularity being regarded as an important and useful asset supporting the goal to reach consistent fuzzy preference relations. To do so, we develop a concept of granular fuzzy preference relation where each pairwise comparison is formed as a certain information granule instead of a single numeric value. As being more abstract, the granular format of the preference model offers the required flexibility to increase the level of consistency.en
dc.language.isoenen
dc.publisherIOS Pressen
dc.subjectConsistencyen
dc.subjectgranularity of informationen
dc.subjectparticle swarm optimizationen
dc.subjectfuzzy preference relationen
dc.titleImproving consistency in fuzzy preference relations with an allocation of information granularityen
dc.typeBook chapteren
dc.identifier.doihttps://doi.org/10.3233/978-1-61499-434-3-194
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderEuropean Union, Spanish Research Council, Andalucian Research Council.en
dc.projectidFUZZYLING-II, TIN2010-17876, TIC-05299 and TIC-5991.en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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