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    A New Selection Process Based on Granular Computing for Group Decision Making Problems

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    chp_10.1007_978-3-319-17530-0_2-final.pdf (195.4Kb)
    Date
    2015-05
    Author
    Cabrerizo, F. J.;
    Urena, Raquel;
    Morente-Molinera, Juan Antonio;
    Pedrycz, Witold;
    Chiclana, Francisco;
    Herrera-Viedma, Enrique
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    Abstract
    In Group Decision Making, there are situations in which the decision makers may not be able to provide his/her opinions properly and they could contain contradictions. To avoid it, in this contribution, we present a new selection process to deal with inconsistent information. As part of it, we use a method based on granular computing to increase the consistency of the opinions given by the decision makers. To do so, each opinion is articulated as a certain information granule instead of a single numeric value, offering the necessary flexibility to increase the consistency. Finally, the importance of the decision makers’ opinions in the aggregation step is modeled by means of their consistency.
    Description
    Citation : Cabrerizo, F. J. et al. (2015) A New Selection Process Based on Granular Computing for Group Decision Making Problems. Intelligent Software Methodologies, Tools and Techniques Communications in Computer and Information Science, 513, pp. 13-24
    URI
    http://hdl.handle.net/2086/10982
    DOI
    https://doi.org/10.1007/978-3-319-17530-0_2
    ISBN : 978-3-319-17529-4
    Research Group : Centre for Computational Intelligence
    Research Institute : Institute of Artificial Intelligence (IAI)
    Peer Reviewed : Yes
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    • School of Computer Science and Informatics [2966]

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