A fuzzy modeling method via Enhanced Objective Cluster Analysis for designing TSK model

Expert Systems with Applications

Volumn 36, Issue 10, 2009, Pages 12375-12382

  Wang, Na ^a   Yang, Yupu ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Fuzzy clustering; Fuzzy modeling; Objective Cluster Analysis; Stable Kalman Filter; TSK model

Indexed keywords

APPROXIMATION ERRORS; BOX-JENKINS; CLUSTER CENTERS; CLUSTERING RESULTS; CONSISTENCY CRITERIA; DISSIMILARITY MEASURES; FUZZY C MEANS CLUSTERING; FUZZY MODELING; FUZZY MODELING METHOD; INITIAL CONDITIONS; KALMAN FILTER ALGORITHMS; MODELING METHOD; MODELING PROCEDURE; NUMBER OF CLUSTERS; OBJECTIVE CLUSTER ANALYSIS; PARAMETERS IDENTIFICATION; ROBUST FUZZY; SIMILARITY DEGREE; SIMULATION RESULT; STABLE KALMAN FILTER; TSK FUZZY MODEL; TSK MODEL; TSK MODELS;

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; CONTROL THEORY; ERRORS; FURNACES; FUZZY SYSTEMS; GAS FURNACES; IDENTIFICATION (CONTROL SYSTEMS); KALMAN FILTERS; PETROLEUM REFINERIES;

FUZZY CLUSTERING;

EID: 69249214127     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.04.048     Document Type: Article

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