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Volumn 164, Issue 1-4, 2004, Pages 31-46

Extended fuzzy regression models using regularization method

Author keywords

Fuzzy regression models; Least square fitting; Regularization method

Indexed keywords

FUNCTIONS; FUZZY SETS; LEAST SQUARES APPROXIMATIONS; LINEAR EQUATIONS; MATHEMATICAL MODELS; NONLINEAR EQUATIONS; REGRESSION ANALYSIS; SET THEORY;

EID: 3042773329     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2003.09.014     Document Type: Article
Times cited : (43)

References (21)
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  • 3
    • 0042764661 scopus 로고    scopus 로고
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  • 5
    • 0035313747 scopus 로고    scopus 로고
    • Fuzzy regression methods: A comparative assessment
    • Chang Y., Ayyub B. Fuzzy regression methods: a comparative assessment. Fuzzy Sets and Systems. 119:2001;187-203.
    • (2001) Fuzzy Sets and Systems , vol.119 , pp. 187-203
    • Chang, Y.1    Ayyub, B.2
  • 6
    • 0035313833 scopus 로고    scopus 로고
    • Hybrid fuzzy least-squares regression analysis and its reliability measures
    • Chang Y., Ayyub B. Hybrid fuzzy least-squares regression analysis and its reliability measures. Fuzzy Sets and Systems. 119:2001;225-246.
    • (2001) Fuzzy Sets and Systems , vol.119 , pp. 225-246
    • Chang, Y.1    Ayyub, B.2
  • 7
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    • Fuzzy least squares
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    • Diamond, P.1
  • 9
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    • Least squares fitting of several fuzzy variables
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    • (1987) Analysis of Fuzzy Information , pp. 329-331
    • Diamond, P.1
  • 13
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    • Support vector machines for classification and regression
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  • 14
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    • Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks
    • Ishibuchi H., Nii M. Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks. Fuzzy Sets and Systems. 119:2001;273-290.
    • (2001) Fuzzy Sets and Systems , vol.119 , pp. 273-290
    • Ishibuchi, H.1    Nii, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.