Phase Transition in SONFIS and SORST

Authors:
Hamed O. Ghaffari;Mostafa Sharifzadeh;Witold Pedrycz
Affiliations:
Department of Mining & Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran;Department of Mining & Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran;Department of Electrical and Computer Engineering, University of Alberta, Alberta, Canada
Venue:
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Year:
2008

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Abstract

This study introduces new aspects of phase transition in two new hybrid intelligent systems called Self-Organizing Neuro-Fuzzy Inference System (SONFIS) and Self-Organizing Rough SeT (SORST). We show how our algorithms can be taken as a linkage of government-society interaction, where government catches various states of behaviors: "solid (absolute-oppressive) or flexible (democratic)". So, transition of such System, by changing of connectivity parameters (noise) and using a simple linear relation, from order to disorder states is inferred.