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    A group decision making support system for the Web: How to work in environments with a high number of participants and alternatives

    Autor: 
    Morente-Molinera, Juan Antonio (1)
    Kou, G
    Pérez, Javier Ignacio
    Pérez, Ignacio Javier
    Samuylov, K.
    Selamat, A.
    Herrera-Viedma, Enrique
    Fecha: 
    07/2018
    Palabra clave: 
    fuzzy linguistic modelling; group decision making; computing with words; multi-granular linguistic information; JCR; Scopus
    Tipo de Ítem: 
    Articulo Revista Indexada
    URI: 
    https://reunir.unir.net/handle/123456789/6857
    DOI: 
    https://doi.org/10.1016/j.asoc.2018.03.047
    Dirección web: 
    https://www.sciencedirect.com/science/article/pii/S1568494618301789#!
    Resumen:
    One of the main challenges that the appearance of Web 2.0 and the overall spreading of the Internet have generated is how to tackle with the high number of users and information available. This problem is also inherited by the group decision making problems that can be carried out over the Web. In this article, to solve this issue, a group decision making support system that allows the use of a high number of participants and alternatives is presented. This method allows any number of participants to join the decision making process at any time. Furthermore, they let them provide information only about a certain subset of alternatives. The high participation rate can provide enough information for the decision process to be carried out even if the participants do not provide information about all the high number of available alternatives. (C) 2018 Elsevier B.V. All rights reserved.
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