Checking orthogonal transformations and genetic algorithms for selection of fuzzy rules based on interpretability-accuracy concepts

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2011, Pages 1271-1278

  Rey, M Isabel ^a   Galende, Marta ^b   Sainz, Gregorio I ^c   Fuente, Maria J ^c  

^a INDOMAUT SL   (Spain)

^b Centro de Automatizacion Robotica y Tecnologias de La Informacion y de La Fabricacion   (Spain)

^c UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

Accuracy; Fuzzy Systems; Genetic Algorithm; Interpretability; Orthogonal Transformations; Rule Selection

Indexed keywords

ACCURACY; COMPLEXITY REDUCTION; CRITERION PARAMETERS; DATA DRIVEN FUZZY MODELING; DATA SETS; FUZZY MODELING; FUZZY MODELS; INTERPRETABILITY; MAMDANI; MATRIX; NEUROFUZZY SYSTEM; NSGA-II; ORTHOGONAL TRANSFORMATIONS; POOR PERFORMANCE; POST PROCESSING; RULE GENERATION; RULE SELECTION; RULES SELECTION;

ADAPTIVE SYSTEMS; FUZZY RULES; FUZZY SYSTEMS; LINEAR TRANSFORMATIONS; MATHEMATICAL MODELS;

GENETIC ALGORITHMS;

EID: 80053078016     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2011.6007531     Document Type: Conference Paper

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