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Modeling of Social Transitions Using Intelligent Systems

2008/10/11 by Hamed Owladeghaffari, Hamed O. Ghaffari, Witold Pedrycz +1 · 1 citation
Computer Science · Economics, Econometrics and Finance · #Complex Systems and Time Series Analysis #Feature (linguistics) #Inference #Intelligent agent #Intelligent decision support system #Linkage (software) #Neural Networks and Applications #Order (exchange) #Rough Sets and Fuzzy Logic #Rough set #Set (abstract data type) #cs.AI

paper · pdf · doi:10.1109/cans.2008.8

arxiv created 2008/10/11 · openalex publication_date 2008/11/01 · arxiv updated 2014/07/29 · openalex created_date 2016/10/28 · openalex updated_date 2026/08/05

Abstract

In this study, we reproduce two new hybrid intelligent systems, involve three prominent intelligent computing and approximate reasoning methods: Self Organizing feature Map (SOM), Neuro-Fuzzy Inference System and Rough Set Theory (RST), called SONFIS and SORST. We show how our algorithms can be construed as a linkage of government-society (or any other similar systems) interactions, where government catches various states of behaviors: ldquosolid (absolute) or flexiblerdquo. So, transition of society, by changing of connectivity parameters (noise) from order to disorder is inferred.

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