@misc{10481/58791,
year = {2019},
month = {4},
url = {http://hdl.handle.net/10481/58791},
abstract = {The usage of linguistic information involves computing with words, a methodology assuming
linguistic values as computational elements, in group decision-making environments. In recent times, a new
methodology founded on a framework of granular computing has been employed to manage linguistic
information. An advantage of this methodology is that the distribution and the semantics of the linguistic
values, in place of being initially established, are defined by the optimization of a certain criterion. In this
paper, different from the existing approaches, we present a novel approach build on the basis of a granular
computing framework that is able to cope with group decision-making problems defined in multi-criteria
contexts, that is, those in which different criteria are considered to evaluate the possible alternatives for
solving the problem. In particular, it models group decision-making problems in a more realistic way by
taking into account that each criterion has an importance weight and by considering that each decision maker
has a different importance weight for each criterion. This approach makes operational the linguistic values by
associating them with intervals via the optimization of an optimization criterion composed of two important
aspects that must be taken into account in this kind of decision problems, that is, the consensus at the level
of group of decision makers and the consistency at the level of individual decision makers.},
organization = {This work was supported in part by the Spanish Ministry of Economy and Competitiveness under Project DPI2016-77677-P, in part by the
RoboCity2030-DIH-CM Madrid Robotics Digital Innovation Hub (``Robótica aplicada a la mejora de la calidad de vida de los ciudadanos.
Fase IV''; S2018/NMT-4331), funded by the ``Programas de Actividades I+D de la Comunidad de Madrid,'' and co-funded by the
Structural Funds of the EU, and in part by the research grant from the Asociación Universitaria Iberoamericana de Postgrado (AUIP)
and Consejería de Economía y Conocimiento de la Junta de Andalucía.},
publisher = {IEEE},
keywords = {Consensus},
keywords = {Consistency},
keywords = {Granular computing},
keywords = {Linguistic information},
keywords = {Multi-criteria group decision making},
title = {Group Decision Making Based on a Framework of Granular Computing for Multi-Criteria and Linguistic Contexts},
doi = {10.1109/ACCESS.2019.2913338},
author = {Callejas, Edwin Alberto and Cerradas, José Antonio and Cerrada, Carlos and Cabrerizo, F.J.},
}