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      • A consensus support model based on linguistic information for the initial-self assessment of the EFQM in health care organizations 

        Moreno-Rodríguez, JM; Cabrerizo, Francisco Javier; Pérez, Ignacio Javier; Martínez, Mª Ángeles (Expert Systems with Applications, 06/2013)
        The improvement of the quality of the services is one of the primary sources of competitive advantage in health care organizations. As customers typically search for higher quality of care when choosing treatments, health ...
      • 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 ...
      • 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 ...
      • Analysing discussions in social networks using group decision making methods and sentiment analysis 

        Morente-Molinera, Juan Antonio ; Kou, G; Peng, Y.; Torres-Albero, C.; Herrera-Viedma, Enrique (Information Sciences, 06/2018)
        Social networks are one of the most preferred environments for people to carry out debates. Since a large amount of people can participate in the process, there is a need for tools that can analyse these discussions and ...
      • Generating Recommendations in GDM with an Allocation of Information Granularity 

        Cabrerizo, Francisco Javier; Morente-Molinera, Juan Antonio ; Pérez, Ignacio Javier; Urena, Raquel; Herrera-Viedma, Enrique (Aggregation Functions in Theory and in Practice, 2018)
        A Group decision making process is carried out when human beings jointly make an election from a possible collection of alternatives. Here, a question of importance is to avoid winners and losers, in the sense that the ...
      • Granulating linguistic information in decision making under consensus and consistency 

        Cabrerizo, Francisco Javier; Morente-Molinera, Juan Antonio ; Pedrycz, Witold; Taghavi, Atefe; Herrera-Viedma, Enrique (Expert Systems with Applications, 01/07/2018)
        This study is concerned with group decision making contexts in which linguistic preference relations are used to provide the evaluations of results. On the one hand, granulation of linguistic terms, which are used as entries ...
      • Improving Consensus in Group Decision Making with Intuitionistic Reciprocal Preference Relations: A Granular Computing Approach 

        Cabrerizo, Francisco Javier; Morente-Molinera, Juan Antonio ; Alonso, Sergio; Pedrycz, Witold; Herrera-Viedma, Enrique (2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, 2018)
        Intuitionistic reciprocal preference relations constitute a flexible and simple representation of decision makers' preference on a set of alternative options, while at the same time allow to accommodate degrees of hesitation ...
      • 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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