A new adaptive consensus reaching process based on the experts' importance

Authors:
Ignacio J. Pérez;F. J. Cabrerizo;S. Alonso;Enrique Herrera-Viedma
Affiliations:
Dept. of Computer Science and Artificial Intelligence, University of Granada;Dept. of Software Engineering and Computer Systems, Distance Learning, University of Spain, UNED;Dept. of Software Engineering, University of Granada;Dept. of Computer Science and Artificial Intelligence, University of Granada
Venue:
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Year:
2010

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Abstract

Usually, in a group decision context, the importance level, confidence degree and amount of knowledge are very different among individuals. So, when all the individuals have to reach agreement, is quite important to model these kind of features in order to get more appropriate decisions. Last related works are focussed in the selection process to model the importance of the experts, but such approach, under some circumstances, can behave badly. In this contribution, we present a new adaptive consensus reaching model specifically designed to undertake group decision making situations in which the experts have different importance or confidence levels.