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

fYear

2008

fDate

8-10 Nov. 2008

Firstpage

3

Lastpage

10

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CANS.2008.8

Filename

5231575