Title :
Modeling of Social Transitions Using Intelligent Systems
Author :
Ghaffari, Hamed O. ; Pedrycz, Witold
Author_Institution :
Dept. of Min. & Metall. Eng., Amirkabir Univ. of Technol., Tehran, Iran
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.
Keywords :
fuzzy neural nets; inference mechanisms; rough set theory; self-organising feature maps; social sciences computing; approximate reasoning methods:; complex systems; government-society interactions; hybrid intelligent systems; intelligent computing; neuro-fuzzy inference system; rough set theory; self organizing feature map; social transitions modeling; Artificial intelligence; Government; Hybrid intelligent systems; Inference algorithms; Intelligent systems; Medical services; Monitoring; Organizing; Set theory; Uncertainty;
Conference_Titel :
Complexity and Intelligence of the Artificial and Natural Complex Systems, Medical Applications of the Complex Systems, Biomedical Computing, 2008. CANS '08. First International Conference on
Conference_Location :
Targu Mures, Mures
Print_ISBN :
978-0-7695-3621-7
DOI :
10.1109/CANS.2008.8
