Title: FUZZY MODELS APPLIED TO COMPLEX SOCIAL SYSTEMS: MODELING POVERTY USING DISTRIBUTED AGENCIES

Issue Number: Vol. 1, No. 2
Year of Publication: Aug - 2011
Page Numbers: 292-303
Authors: Bogart Yail Márquez, Manuel Castañon-Puga, Juan R. Castro, Eugenio D. Suarez, José Sergio Magdaleno-Palencia
Journal Name: International Journal of New Computer Architectures and their Applications (IJNCAA)
- Hong Kong

Abstract:


This work has as its main objective to apply the distributed agency methodology, which consists of several techniques used in computer science, to solve complex social problems. This approach allows the possibility of analyzing data from a macro level to a micro level where the intermediate part is highlighted, all in an organized integration of a social simulation displayed on geographic information with natural language quantifiers. We present a new model based on Distributed agencies Model and we use an interval type-2 fuzzy logic system is designed to evaluate the poverty levels.