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    Listar por tema "fuzzy ontologies"

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      • A Novel Android Application Design Based on Fuzzy Ontologies to Carry Out Local Based Group Decision Making Processes 

        Morente-Molinera, Juan Antonio ; Wikstroem, R.; Carlsson, Christer; Cabrerizo, Francisco Javier; Perez, I. J.; Herrera-Viedma, Enrique (Modeling decisions for artificial intelligence, (MDAI 2016), 2016)
        The appearance of Web 2.0 and mobile technologies, the increase of users participating on the Internet and the high amount of available information have created the necessity of designing tools capable of making the most ...
      • An automatic procedure to create fuzzy ontologies from users’ opinions using sentiment analysis procedures and multi-granular fuzzy linguistic modelling methods 

        Morente-Molinera, Juan Antonio ; Kou, Gang; Pang, C.; Cabrerizo, Francisco Javier; Herrera-Viedma, Enrique (Information Sciences, 02/2019)
        The high amount of information that users continually provides to the Internet is unorganized and difficult to interpret. Unluckily, there is no point in having high amounts of information that we cannot work with. Therefore, ...
      • 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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