Simulating Complex Social Systems for Poverty Studies using Distributed Agencies and Fuzzy Logic

there are several ways to model a complex social system, as is the poverty of an entity. This work is motivated by the need to establish standards for the study of social systems in situations where conventional analysis is insufficient to describe the intricacies of realistic social phenomena and social actors; the goal of this paper is to present a methodology consisting of several techniques that offer solution to complex social problems with soft computing.