A New Selection Process Based on Granular Computing for Group Decision Making Problems

Date
2015-05
Authors
Cabrerizo, F. J.
Urena, Raquel
Morente-Molinera, Juan Antonio
Pedrycz, Witold
Chiclana, Francisco
Herrera-Viedma, Enrique
Journal Title
Journal ISSN
ISSN
Volume Title
Publisher
Springer International Publishing Switzerland
Peer reviewed
Yes
Abstract
In Group Decision Making, there are situations in which the decision makers may not be able to provide his/her opinions properly and they could contain contradictions. To avoid it, in this contribution, we present a new selection process to deal with inconsistent information. As part of it, we use a method based on granular computing to increase the consistency of the opinions given by the decision makers. To do so, each opinion is articulated as a certain information granule instead of a single numeric value, offering the necessary flexibility to increase the consistency. Finally, the importance of the decision makers’ opinions in the aggregation step is modeled by means of their consistency.
Description
Keywords
Group decision making, Selection process, Granular computing, Consistency, Aggregation
Citation
Cabrerizo, F. J. et al. (2015) A New Selection Process Based on Granular Computing for Group Decision Making Problems. Intelligent Software Methodologies, Tools and Techniques Communications in Computer and Information Science, 513, pp. 13-24
Research Institute
Institute of Artificial Intelligence (IAI)