Phase Transition in SONFIS and SORST

被引：0
作者：
Ghaffari, Hamed O. [1 ]
Sharifzadeh, Mostafa [1 ]
Pedrycz, Witold [2 ]
机构：
[1] Amirkabir Univ Technol, Dept Min & Met Engn, Tehran, Iran
[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB, Canada
来源：
ROUGH SETS AND CURRENT TRENDS IN COMPUTING, PROCEEDINGS | 2008年 / 5306卷
关键词：
phase transition; SONFIS; SORST; Nations-Government interactions;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：339 / +
页数：3
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