文章基本信息

标题：FUZZY MODELS APPLIED TO COMPLEX SOCIAL SYSTEMS: MODELING POVERTY USING DISTRIBUTED AGENCIES
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作者：Bogart Yail Márquez ; Manuel Castañon-Puga ; Juan R. Castro 等
期刊名称：International Journal of New Computer Architectures and their Applications
印刷版ISSN：2220-9085
出版年度：2011
卷号：1
期号：2
页码：292-303
出版社：Society of Digital Information and Wireless Communications
摘要：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.
关键词：Complex Social System; Data Mining; ; Fuzzy Logic; Distributed Agencies; Poverty