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 (UNIR)
González-Crespo, Rubén (UNIR)
Corchado, J M
Tipo de Ítem:Articulo Revista Indexada
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 novel 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.
Este ítem aparece en la(s) siguiente(s) colección(es)
Mostrando ítems relacionados por Título, autor o materia.
Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy Morente-Molinera, Juan Antonio (UNIR); Mezei, Jozsef; Carlsson, Christer; Herrera-Viedma, Enrique (IEEE Transactions on Fuzzy Systems, 10/2017)Obtaining good classification results using supervised learning methods is critical if we want to obtain a high level of precision in the classification processes. The training data used for the learning process plays a ...
Study of Factors Affecting the Choice Modal of Transportation in an Urban Environment Using Analytic Hierarchy Process Fraile, Alberto (UNIR); Sicilia, Juan Antonio (UNIR); González-Crespo, Rubén (UNIR); González, Alfonso (UNIR) (Communications in Computer and Information Science, 2016)In modern economies it is essential a proper system of transport that enables population mobility and consequent accessibility to services. However, its current configuration is causing strong negative externalities and ...
Cueva Lovelle, Juan Manuel; Montenegro, Carlos Enrique; Rainer, J Javier (UNIR); González-Crespo, Rubén (UNIR) (Journal of Ambient Intelligence and Humanized Computing, 2017)Internet of Things (IoT) is changing the world. Software for manufacturing industry is perceived as the new industrial revolution. It is creating new opportunities for both the economies and the society. Deployment of ...