Fuzzy principal component regression (FPCR) for fuzzy input and output data

International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems

Volumn 14, Issue 1, 2006, Pages 87-100

  Huang, Jih Jeng ^a   Tzeng, Gwo Hshiung ^b   Ong, Chorng Shyong ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Fuzzy centers principal component analysis; Fuzzy principal component regression (FPCR); Fuzzy principal component scores; Fuzzy regression; Multicollinearity

Indexed keywords

DATA REDUCTION; FUZZY SETS; MATHEMATICAL MODELS; PROBLEM SOLVING; REGRESSION ANALYSIS;

FUZZY CENTERS PRINCIPAL COMPONENT ANALYSIS; FUZZY PRINCIPAL COMPONENT REGRESSION (FPCR); FUZZY PRINCIPAL COMPONENT SCORES; FUZZY REGRESSION; MULTICOLLINEARITY;

PRINCIPAL COMPONENT ANALYSIS;

EID: 33644618268     PISSN: 02184885     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218488506003856     Document Type: Article

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