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dc.contributor.authorCabrerizo, F.J. 
dc.contributor.authorHeradio, Rubén
dc.contributor.authorJavier Pérez, Ignacio
dc.contributor.authorHerrera Viedma, Enrique
dc.identifier.citationCabrerizo, F. J., Heradio, R., Pérez, I. J., & Herrera-Viedma, E. (2010). A Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Information. J. UCS, 16(1), 62-81.es_ES
dc.descriptionThis paper has been developed with the financing of FEDER funds with the PETRI project (PET2007-0460) and FUZZYLING project (TIN2007-61079).es_ES
dc.description.abstractIn group decision making situations, there may be cases in which experts do not have an in-depth knowledge of the problem to be solved and, as a result, they may present incomplete information. In this paper, we present a new selection process to deal with incomplete fuzzy linguistic information. As part of it, we use an iterative procedure to estimate the missing information. This procedure is guided by the additive consistency property and only uses the preference values provided by the experts. In addition, the additive consistency property is also used to measure the level of consistency of the information provided by the experts. The main novelties of this selection process are both the possibility to manage decision situations under incomplete fuzzy linguistic information and the importance of the experts’ preferences in the aggregation processes is modeled by means of the experts’ consistency.es_ES
dc.description.sponsorshipEuropean Union (EU) PET2007-0460 TIN2007-61079es_ES
dc.publisherInstitut für Informationssysteme und Computer Medien; Technische Universitaet Grazes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.subjectGroup decision makinges_ES
dc.subjectIncomplete informationes_ES
dc.subjectFuzzy linguistic informationes_ES
dc.titleA Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Informationes_ES

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Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España