FUZZY MODELS APPLIED TO COMPLEX SOCIAL SYSTEMS: MODELING POVERTYUSING DISTRIBUTED AGENCIES
Bogart Yail Márquez · International Journal of New Computer Architectures and their Applications · 2011
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.