Social interactions issues in group decision-making

Abstract

Decision- making is certainly the most widespread of all human activities, whether individual or by a group. Some decisions, especially individual decisions, are easy to make and do not require sophisticated algorithms to arrive at a solution. Others, on the other hand, and especially in the case of group decision-making, require the establishment of frameworks, rules or algorithms of varying degrees of sophistication to arrive at a satisfactory solution. In this process, the most difficult part is certainly the modeling and treatment of the relationships between the actors in the decision-making group. The objective of this paper is therefore to build a framework for modeling and analyzing interactions between decision-makers in a group on computational bases in the sense that these interactions will be characterized by numerical parameters. The constant concern in this work is to get as close as possible to human behavior by using bipolar analysis.