Building consensus in group decision making with an allocation of information granularity

Consensus is defined as a cooperative process in which a group of decision makers develops and agrees to support a decision in the best interest of the whole. It is a questioning process, more than an affirming process, in which the group members usually modify their choices until a high level of agreement within the group is achieved. Given the importance of forming an accepted decision by the entire group, the consensus has attained a great attention and it is a major goal in group decision making. In this study, we propose the concept of the information granularity as an important and useful asset supporting to reach consensus in group decision making. By using fuzzy preference relations to represent the opinions of the decision makers, we develop a concept of a granular fuzzy preference relation where each pairwise comparison is formed as a certain information granule (say, a interval, fuzzy set, rough set, and alike) instead of a single numeric value. As being more abstract, the granular format of the preference model offers the required flexibility to increase the level of agreement within the group using the fact that we select the most suitable numeric representative of the fuzzy ∗Corresponding author Email addresses: [email protected] (Francisco Javier Cabrerizo), [email protected] (Raquel Ureña), [email protected] (Witold Pedrycz), [email protected] (Enrique Herrera-Viedma) Preprint submitted to Fuzzy Sets and Systems October 15, 2013 *Manuscript Click here to view linked References