Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals' numbers (INs)

Information Sciences

Volumn 180, Issue 24, 2010, Pages 5060-5076

  Papadakis, S E ^a   Kaburlasos, Vassilis G ^a  

^a TECHNOLOGICAL EDUCATIONAL INSTITUTE OF KAVALA   (Greece)

Author keywords

Fuzzy inference systems (FIS); Genetic optimization; Granular data; Intervals' number (IN); Lattice theory; Linear approximation; Rules; Self organizing map (SOM); Similarity measure; Structure identification; TSK model

Indexed keywords

FUZZY INFERENCE SYSTEMS; GENETIC OPTIMIZATION; GRANULAR DATA; INTERVALS' NUMBER (IN); LATTICE THEORIES; LINEAR APPROXIMATIONS; RULES; SIMILARITY MEASURE; STRUCTURE IDENTIFICATION; TSK MODELS;

CONFORMAL MAPPING; DECISION MAKING; FUZZY SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; PIECEWISE LINEAR TECHNIQUES; SIGNAL RECONSTRUCTION; STRUCTURE (COMPOSITION);

FUZZY INFERENCE;

EID: 77957672053     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2010.03.023     Document Type: Article

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