• Login
    View Item 
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Computer Science and Informatics
    • View Item
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Computer Science and Informatics
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    On incomplete fuzzy and multiplicative preference relations in multi-person decision making

    Thumbnail
    View/Open
    This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Available at: http://www.sciencedirect.com/science/article/pii/S1877050914005067 (203.7Kb)
    Date
    2014-05
    Author
    Ureña, Raquel;
    Chiclana, Francisco;
    Alonso, S.;
    Morente-Molinera, Juan Antonio;
    Herrera-Viedma, Enrique
    Metadata
    Show attachments and full item record
    Abstract
    Rapid changes in the business environment such us the globalization as well as the increasing necessity to make crucial decisions involving a huge range of alternatives in short period of time or even in real time have made that computerized group decision support systems become very useful tools. However in the majority of the cases the panel of experts cannot provide all the information about their preferences due to different reasons such as lack of knowledge, time etc. Therefore different approaches have been presented to deal with the missing preferences in group decision making contexts. In this paper we review and analyse the state-of-the-art research efforts carried out on this topic for incomplete fuzzy preference relations and multiplicative preference relations.
    Description
    Citation : Ureña, R., Chiclana, F., Alonso, S., Morente-Molinera, J.A. and Herrera-Viedma, E. (2014) On incomplete fuzzy and multiplicative preference relations in multi-person decision making. Procedia Computer Science, 31, pp. 793-801
    URI
    http://hdl.handle.net/2086/9981
    DOI
    http://dx.doi.org/10.1016/j.procs.2014.05.329
    ISSN : 1877-0509
    Research Group : Centre for Computational Intelligence
    Research Institute : Institute of Artificial Intelligence (IAI)
    Peer Reviewed : Yes
    Collections
    • School of Computer Science and Informatics [2977]

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary
     

     

    Browse

    All of DORACommunities & CollectionsAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission DateThis CollectionAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission Date

    My Account

    Login

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary