Nombre
Ignacio
Middle name
Javier
Apellidos
Pérez

Referencias

A Feedback Mechanism Based on Granular Computing to Improve Consensus in GDM
Keywords
Resumen
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.
Year of Publicaion
2018
Book Title
Soft Computing Applications for Group Decision-making and Consensus Modeling
Volume
357
Chapter
A Feedback Mechanism Based on Granular Computing to Improve Consensus in GDM
Pagination
371-390
Publisher
Springer International Publishing
ISBN
978-3-319-60206-6
ISBN Number
"978-3-319-60207-3"
URL
https://doi.org/10.1007/978-3-319-60207-3_22
DOI
10.1007/978-3-319-60207-3_22
Cabrerizo, F. J., et al. «A Feedback Mechanism Based On Granular Computing To Improve Consensus In Gdm». Soft Computing Applications For Group Decision-Making And Consensus Modeling, Springer International Publishing, 2018, pp. 371-390.
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