A genetic approach to modeling fuzzy systems based on information granulation and successive generation-based evolution method

Simulation Modelling Practice and Theory

Volumn 15, Issue 9, 2007, Pages 1128-1145

  Park, Keon Jun ^a   Pedrycz, Witold ^b,c   Oh, Sung Kwun ^a  

^a Suwon University   (South Korea)

^b UNIVERSITY OF ALBERTA   (Canada)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

C Means clustering; Fuzzy inference system (FIS); Generation based evolution; Genetic algorithms (GAs); Information granules (IG); Successive tuning method

Indexed keywords

FUZZY INFERENCE; GENETIC ALGORITHMS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; OPTIMIZATION; PARAMETER ESTIMATION; POLYNOMIALS;

C MEANS CLUSTERING; FUZZY INFERENCE SYSTEM (FIS); GENERATION BASED EVOLUTION; INFORMATION GRANULATION; INFORMATION GRANULES (IG); SUCCESSIVE TUNING METHOD;

FUZZY SYSTEMS;

EID: 34848878056     PISSN: 1569190X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.simpat.2007.07.001     Document Type: Article

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