Group decision making is an important task in real world activities. It consists in obtaining the best solution to a particular problem according to the opinions given by a set of decision makers. In such a situation, an important issue is the level of consensus achieved among the decision makers before making a decision. For this reason, different feedback mechanisms, which help decision makers for reaching the highest degree of consensus possible, have been proposed in the literature. In this contribution, we present a new feedback mechanism based on granular computing to improve consensus in group decision making problems. Granular computing is a framework of designing, processing, and interpretation of information granules, which can be used to obtain a required flexibility to improve the level of consensus within the group of decision makers.
CITATION STYLE
Cabrerizo, F. J., Chiclana, F., Pérez, I. J., Mata, F., Alonso, S., & Herrera-Viedma, E. (2018). A feedback mechanism based on granular computing to improve consensus in GDM. In Studies in Fuzziness and Soft Computing (Vol. 357, pp. 371–390). Springer Verlag. https://doi.org/10.1007/978-3-319-60207-3_22
Mendeley helps you to discover research relevant for your work.