Fuzzy Decision Making in a Globalization Process

In a social context, Decision Making Support Systems use an aggregation mechanism to combine the input of individual characteristics as a way of reaching collective decision. In this paper we present our ideas about how these systems can achieve such goal in huge social nets (millions of agents). With this goal in mind, we have conjugated the power of Fuzzy Logic, Evolutionary Algorithms and Swarm Algorithms in a framework for obtaining a Collective Decision Making, in order to use simultaneously agent's specialization and connectivity. This framework incorporates different algorithms for the aggregation step.