scholarly journals Identification of Fuzzy Inference Systems Using a Multi-objective Space Search Algorithm and Information Granulation

2011 ◽  
Vol 6 (6) ◽  
pp. 853-866 ◽  
Author(s):  
Wei Huang ◽  
Sung-Kwun Oh ◽  
Lixin Ding ◽  
Hyun-Ki Kim ◽  
Su-Chong Joo
Keyword(s):  
Fuzzy Inference ◽  
Search Algorithm ◽  
Fuzzy Inference Systems ◽  
Information Granulation ◽  
Multi Objective ◽  
Objective Space ◽  
Inference Systems

scholarly journals Identification of Fuzzy Inference Systems by Means of a Multiobjective Opposition-Based Space Search Algorithm

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Wei Huang ◽  
Sung-Kwun Oh
Keyword(s):  
Fuzzy Inference ◽  
Search Algorithm ◽  
Fuzzy Model ◽  
Parametric Identification ◽  
Fuzzy Inference Systems ◽  
Inference System ◽  
Fuzzy Models ◽  
Opposition Based Learning ◽  
Speed Up ◽  
Inference Systems

We introduce a new category of fuzzy inference systems with the aid of a multiobjective opposition-based space search algorithm (MOSSA). The proposed MOSSA is essentially a multiobjective space search algorithm improved by using an opposition-based learning that employs a so-called opposite numbers mechanism to speed up the convergence of the optimization algorithm. In the identification of fuzzy inference system, the MOSSA is exploited to carry out the parametric identification of the fuzzy model as well as to realize its structural identification. Experimental results demonstrate the effectiveness of the proposed fuzzy models.

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