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Volumn 10, Issue 1, 2010, Pages 111-118

Piecewise regression for fuzzy input-output data with automatic change-point detection by quadratic programming

Author keywords

Change point; Fuzzy input output data; Fuzzy regression; Piecewise regression; Quadratic programming

Indexed keywords

CHANGE POINT DETECTION; CHANGE-POINT; CHANGE-POINTS; ESTIMATED MODEL; FUZZY INPUT; FUZZY INPUT-OUTPUT DATA; FUZZY OUTPUT; FUZZY REGRESSION; INTERVAL REGRESSION ANALYSIS; LINEAR PROGRAMMING TECHNIQUES; PIECE-WISE; PIECEWISE REGRESSION;

EID: 70350129248     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2009.06.014     Document Type: Article
Times cited : (15)

References (15)
  • 2
    • 0032205733 scopus 로고    scopus 로고
    • Interval regression analysis by quadratic programming approach
    • Tanaka H., and Lee H. Interval regression analysis by quadratic programming approach. IEEE Transactions on Fuzzy Systems 6 (1998) 473-481
    • (1998) IEEE Transactions on Fuzzy Systems , vol.6 , pp. 473-481
    • Tanaka, H.1    Lee, H.2
  • 4
    • 38249008924 scopus 로고
    • Fuzzy linear regression analysis for fuzzy input-output data
    • Sakawa M., and Yano H. Fuzzy linear regression analysis for fuzzy input-output data. Information Sciences 63 (1992) 191-206
    • (1992) Information Sciences , vol.63 , pp. 191-206
    • Sakawa, M.1    Yano, H.2
  • 5
    • 0035899786 scopus 로고    scopus 로고
    • Fuzzy liner regression analysis for fuzzy input-output data using shape-preserving operations
    • Hong D.H., Lee S., and Do H.Y. Fuzzy liner regression analysis for fuzzy input-output data using shape-preserving operations. Fuzzy Sets and Systems 122 (2001) 513-526
    • (2001) Fuzzy Sets and Systems , vol.122 , pp. 513-526
    • Hong, D.H.1    Lee, S.2    Do, H.Y.3
  • 6
    • 0037117193 scopus 로고    scopus 로고
    • Fuzzy least-squares linear regression analysis for fuzzy input-output data
    • Yang M.S., and Lin T.S. Fuzzy least-squares linear regression analysis for fuzzy input-output data. Fuzzy Sets and Systems 126 (2002) 389-399
    • (2002) Fuzzy Sets and Systems , vol.126 , pp. 389-399
    • Yang, M.S.1    Lin, T.S.2
  • 7
    • 0042591514 scopus 로고    scopus 로고
    • A note on fuzzy regression model with fuzzy input and output data for manpower forecasting
    • Hong D.H., and Yi H.C. A note on fuzzy regression model with fuzzy input and output data for manpower forecasting. Fuzzy Sets and Systems 138 (2003) 271-281
    • (2003) Fuzzy Sets and Systems , vol.138 , pp. 271-281
    • Hong, D.H.1    Yi, H.C.2
  • 8
    • 3242675121 scopus 로고    scopus 로고
    • A mathematical-programming to fuzzy linear regression analysis
    • Nasrabadi M.M., and Nasrabadi E. A mathematical-programming to fuzzy linear regression analysis. Applied Mathematics and Computation 155 (2004) 873-881
    • (2004) Applied Mathematics and Computation , vol.155 , pp. 873-881
    • Nasrabadi, M.M.1    Nasrabadi, E.2
  • 10
    • 0028462787 scopus 로고
    • Properties of certain fuzzy linear regression methods
    • Redden D.T., and Woodall W.H. Properties of certain fuzzy linear regression methods. Fuzzy Sets and Systems 64 (1994) 361-375
    • (1994) Fuzzy Sets and Systems , vol.64 , pp. 361-375
    • Redden, D.T.1    Woodall, W.H.2
  • 11
    • 0030121174 scopus 로고    scopus 로고
    • On assessing operator response time in human reliability analysis (HRA) using a possibilistic fuzzy regression model
    • Kim B., and Bishu R.R. On assessing operator response time in human reliability analysis (HRA) using a possibilistic fuzzy regression model. Reliability Engineering and System Safety 52 (1996) 27-34
    • (1996) Reliability Engineering and System Safety , vol.52 , pp. 27-34
    • Kim, B.1    Bishu, R.R.2
  • 12
    • 0032671174 scopus 로고    scopus 로고
    • Upper and lower approximation models in interval regression using regression quantile techniques
    • Lee H., and Tanaka H. Upper and lower approximation models in interval regression using regression quantile techniques. European Journal of Operational Research 116 (1999) 653-666
    • (1999) European Journal of Operational Research , vol.116 , pp. 653-666
    • Lee, H.1    Tanaka, H.2
  • 13
    • 0342961074 scopus 로고    scopus 로고
    • Fuzzy regression with radial basis function network
    • Cheng C., and Lee E. Fuzzy regression with radial basis function network. Fuzzy Sets and Systems 119 (2001) 291-301
    • (2001) Fuzzy Sets and Systems , vol.119 , pp. 291-301
    • Cheng, C.1    Lee, E.2
  • 14
    • 0035313686 scopus 로고    scopus 로고
    • General fuzzy piecewise regression analysis with automatic change-point detection
    • Yu J.R., Tzeng G.H., and Li H.L. General fuzzy piecewise regression analysis with automatic change-point detection. Fuzzy Sets and Systems 119 (2001) 247-257
    • (2001) Fuzzy Sets and Systems , vol.119 , pp. 247-257
    • Yu, J.R.1    Tzeng, G.H.2    Li, H.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.