Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods

J.A. Morente-Molinera, G. Kou, R. González-Crespo, J.M. Corchado, E. Herrera-Viedma
2017 Knowledge-Based Systems  
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, we focus on solving this issue by carrying out multi-criteria group decision making methods using a different novel approach. Concretely, fuzzy ontologies reasoning procedures are used in order to automatically obtain the alternatives ranking classification. Thanks to our
more » ... l methodology, experts only need to provide the importance of a small set of criteria values making it possible for experts to perform multi-criteria group decision making procedures that have a high amount of alternatives without having to directly deal with them. Furthermore, in order to allow experts to provide their preferences in a comfortable way, multi-granular fuzzy linguistic modelling is used in order to allow each expert to choose the linguistic label set that better fits him/her. .net (R. González-Crespo), corchado@usal.es (J.M. Corchado), viedma@decsai.ugr.es (E. Herrera-Viedma). doing it globally for a set of them. Also, multi-criteria group decision making methods have the advantage of being able to make decisions controlling the importance that is given to each criteria value. In group decision making methods this was not possible since each expert provides his/her preferences according to his/her own criteria importance scale. Therefore, it can be affirmed that multi-criteria group decision making methods provide more means to stablish which rules will be followed for calculating the final decision making results than group decision making methods. Multi-criteria group decision making is a field that is quite present in the recent literature. For instance, in [42] , a novel framework model that is capable of dealing with multi-criteria group decision making environments is defined. For this purpose, new consensus and selection processes are proposed. In [45] , a novel consensus method that is designed for its application in multi-criteria group decision making process is presented. In [19] , a novel framework for multi-criteria group decision making method that uses the fuzzy Choquet integral is used. Finally, in [29] , a multi-criteria group decision making method that uses neutrosophic sets for representing the provided information is presented.
doi:10.1016/j.knosys.2017.09.010 fatcat:soeojziw2bhy3dqlof4fscm44e