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. © 2010 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Pérez, I. J., Cabrerizo, F. J., Alonso, S., & Herrera-Viedma, E. (2010). A new adaptive consensus reaching process based on the experts’ importance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6178 LNAI, pp. 474–483). https://doi.org/10.1007/978-3-642-14049-5_49
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
