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    Listar por tema "fuzzy linguistic modelling"

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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 

        Morente-Molinera, Juan Antonio; Kou, G; Pérez, Javier Ignacio; Pérez, Ignacio Javier; Samuylov, K.; Selamat, Ali; Herrera-Viedma, Enrique (Applied Soft Computing, 07/2018)
        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 ...
      • Dealing with group decision-making environments that have a high amount of alternatives using card-sorting techniques 

        Morente-Molinera, Juan Antonio; Ríos Aguilar, Sergio ; González-Crespo, Rubén ; Herrera-Viedma, Enrique (Expert Systems with Applications, 01/08/2019)
        Due to the appearance of Web 2.0 technologies and smartphones, the amount of information available to carry out group decision-making processes has increased dramatically. Therefore, there is a need for group decision-making ...
      • Managing multi-criteria group decision making environments with high number of alternatives using fuzzy ontologies 

        Morente-Molinera, Juan Antonio ; Kou, Gang; González-Crespo, Rubén ; Corchado, J M; Herrera-Viedma, Enrique (Frontiers in Artificial Intelligence and Applications, 2018)
        The high amount of information that modern multi-criteria group decision making environments must handle requires the development of novel methods. These methods should be able to work with high amounts of alternatives ...
      • Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods 

        Morente-Molinera, Juan Antonio ; Kou, G; González-Crespo, Rubén ; Corchado, J M; Herrera-Viedma, Enrique (Knowledge-Based Systems, 12/2017)
        Classic multi-criteria group decision making models that have a high amount of alternatives are unmanageable for the experts. This is because they have to provide one value per each alternative and criteria. In this paper, ...

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