메뉴 건너뛰기




Volumn 163, Issue 2, 2005, Pages 977-989

Fuzzy linear regression models with least square errors

Author keywords

Fuzzy linear regression; Fuzzy numbers; Mathematical programming

Indexed keywords

ERROR ANALYSIS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MATHEMATICAL PROGRAMMING; PARAMETER ESTIMATION; PROBLEM SOLVING; REGRESSION ANALYSIS;

EID: 13544257130     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2004.05.004     Document Type: Article
Times cited : (76)

References (22)
  • 1
    • 0031210511 scopus 로고    scopus 로고
    • Fuzzy seasonality forecasting
    • Chang P.T. Fuzzy seasonality forecasting. Fuzzy Sets Syst. 90:1997;1-10
    • (1997) Fuzzy Sets Syst. , vol.90 , pp. 1-10
    • Chang, P.T.1
  • 2
    • 0000651556 scopus 로고    scopus 로고
    • Applying fuzzy linear regression to VDT legibility
    • Chang P.T., Lee E.S., Konz S.A. Applying fuzzy linear regression to VDT legibility. Fuzzy Sets Syst. 80:1996;197-204
    • (1996) Fuzzy Sets Syst. , vol.80 , pp. 197-204
    • Chang, P.T.1    Lee, E.S.2    Konz, S.A.3
  • 3
    • 0001092852 scopus 로고    scopus 로고
    • Forecasting methods using fuzzy concepts
    • Chen T., Wang M.J.J. Forecasting methods using fuzzy concepts. Fuzzy Sets Syst. 105:1999;339-352
    • (1999) Fuzzy Sets Syst. , vol.105 , pp. 339-352
    • Chen, T.1    Wang, M.J.J.2
  • 4
    • 0000325717 scopus 로고
    • Fuzzy least squares
    • Diamond P. Fuzzy least squares. Inform. Sci. 46:1988;141-157
    • (1988) Inform. Sci. , vol.46 , pp. 141-157
    • Diamond, P.1
  • 6
    • 0020813415 scopus 로고
    • Ranking fuzzy numbers in the setting of possibility theory
    • Dubois D., Prade H. Ranking fuzzy numbers in the setting of possibility theory. Infom. Sci. 30:1983;183-224
    • (1983) Infom. Sci. , vol.30 , pp. 183-224
    • Dubois, D.1    Prade, H.2
  • 7
    • 0022026102 scopus 로고
    • Fuzzy linear regression and its applications to forecasting in uncertain environment
    • Heshmaty B., Kandel A. Fuzzy linear regression and its applications to forecasting in uncertain environment. Fuzzy Sets Syst. 15:1985;159-191
    • (1985) Fuzzy Sets Syst. , vol.15 , pp. 159-191
    • Heshmaty, B.1    Kandel, A.2
  • 8
    • 0000662569 scopus 로고    scopus 로고
    • Evaluation of fuzzy linear regression models by comparison membership function
    • Kim B., Bishu R.R. Evaluation of fuzzy linear regression models by comparison membership function. Fuzzy Sets Syst. 100:1998;343-352
    • (1998) Fuzzy Sets Syst. , vol.100 , pp. 343-352
    • Kim, B.1    Bishu, R.R.2
  • 9
    • 0028410373 scopus 로고
    • A fuzzy approach to multiperson optimization: An off-line quality engineering problem
    • Lai Y.J., Chang S.I. A fuzzy approach to multiperson optimization: an off-line quality engineering problem. Fuzzy Sets Syst. 63:1994;117-129
    • (1994) Fuzzy Sets Syst. , vol.63 , pp. 117-129
    • Lai, Y.J.1    Chang, S.I.2
  • 11
    • 0028407151 scopus 로고
    • Fuzzy linear regression with fuzzy intervals
    • Peters G. Fuzzy linear regression with fuzzy intervals. Fuzzy Sets Syst. 63:1994;45-55
    • (1994) Fuzzy Sets Syst. , vol.63 , pp. 45-55
    • Peters, G.1
  • 12
    • 0028462787 scopus 로고
    • Properties of certain fuzzy linear regression methods
    • Redden D.T., Woodall W.H. Properties of certain fuzzy linear regression methods. Fuzzy Sets Syst. 64:1994;361-375
    • (1994) Fuzzy Sets Syst. , vol.64 , pp. 361-375
    • Redden, D.T.1    Woodall, W.H.2
  • 13
    • 0343005188 scopus 로고    scopus 로고
    • S-curve regression model in fuzzy environment
    • Ruoning X. S-curve regression model in fuzzy environment. Fuzzy Sets Syst. 90:1997;317-326
    • (1997) Fuzzy Sets Syst. , vol.90 , pp. 317-326
    • Ruoning, X.1
  • 14
    • 0001875235 scopus 로고
    • Evaluation of fuzzy linear regression models
    • Savic D.A., Pedrycz W. Evaluation of fuzzy linear regression models. Fuzzy Sets Syst. 39:1991;51-63
    • (1991) Fuzzy Sets Syst. , vol.39 , pp. 51-63
    • Savic, D.A.1    Pedrycz, W.2
  • 15
    • 0024680971 scopus 로고
    • Possibilistic linear regression analysis for fuzzy data
    • Tanaka H., Hayashi I., Watada J. Possibilistic linear regression analysis for fuzzy data. Eur. J. Operat. Res. 40:1989;389-396
    • (1989) Eur. J. Operat. Res. , vol.40 , pp. 389-396
    • Tanaka, H.1    Hayashi, I.2    Watada, J.3
  • 16
    • 0008321310 scopus 로고
    • Possibilistic linear systems and their application to the linear regression model
    • Tanaka H., Watada J. Possibilistic linear systems and their application to the linear regression model. Fuzzy Sets Syst. 27:1988;275-289
    • (1988) Fuzzy Sets Syst. , vol.27 , pp. 275-289
    • Tanaka, H.1    Watada, J.2
  • 19
    • 0037117197 scopus 로고    scopus 로고
    • A fuzzy seasonal ARIMA model for forecasting
    • Tseng F.-M., Tzeng G.-H. A fuzzy seasonal ARIMA model for forecasting. Fuzzy Sets Syst. 126:2002;367-376
    • (2002) Fuzzy Sets Syst. , vol.126 , pp. 367-376
    • Tseng, F.-M.1    Tzeng, G.-H.2
  • 20
    • 0001325256 scopus 로고    scopus 로고
    • Insight of a fuzzy regression model
    • Wang H.F., Tsaur R.C. Insight of a fuzzy regression model. Fuzzy Sets Syst. 112:2000;355-369
    • (2000) Fuzzy Sets Syst. , vol.112 , pp. 355-369
    • Wang, H.F.1    Tsaur, R.C.2
  • 21
    • 0034325806 scopus 로고    scopus 로고
    • Resolution of fuzzy regression model
    • Wang H.F., Tsaur R.C. Resolution of fuzzy regression model. Eur. J. Operat. Res. 126:2000;637-650
    • (2000) Eur. J. Operat. Res. , vol.126 , pp. 637-650
    • Wang, H.F.1    Tsaur, R.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.