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Phase Transition in SONFIS and SORST

2008/01/01 by H. O. Ghaffari, Hamed Owladeghaffari, Mostafa Sharifzadeh +1 · 2 citations
Biochemistry, Genetics and Molecular Biology · Chemistry · Computer Science · Environmental Science · #Chemistry #Computer science #Condensed matter physics #Distributed and Parallel Computing Systems #Methane Hydrates and Related Phenomena #Phase transition #Physics #Protein Structure and Dynamics #Transition (genetics) #cs.AI

paper · pdf · doi:10.1007/978-3-540-88425-5_35

submitted to :The Sixth International Conference on Rough Sets and Current Trends in Computing; Akron, Ohio, USA,2008

openalex publication_date 2008/01/01 · arxiv created 2008/05/05 · arxiv updated 2014/07/29 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

Abstract

In this study, we introduce general frame of MAny Connected Intelligent Particles Systems (MACIPS). Connections and interconnections between particles get a complex behavior of such merely simple system (system in system).Contribution of natural computing, under information granulation theory, are the main topics of this spacious skeleton. Upon this clue, we organize two algorithms involved a few prominent intelligent computing and approximate reasoning methods: self organizing feature map (SOM), Neuro- Fuzzy Inference System and Rough Set Theory (RST). Over this, we show how our algorithms can be taken as a linkage of government-society interaction, where government catches various fashions of behavior: solid (absolute) or flexible. So, transition of such society, by changing of connectivity parameters (noise) from order to disorder is inferred. Add to this, one may find an indirect mapping among financial systems and eventual market fluctuations with MACIPS. Keywords: phase transition, SONFIS, SORST, many connected intelligent particles system, society-government interaction

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