메뉴 건너뛰기




Volumn 36, Issue 5-6, 2008, Pages 547-557

Modeling manufacturing processes using fuzzy regression with the detection of outliers

Author keywords

Fluid dispensing; Fuzzy regression; Outlier detection; Process modeling

Indexed keywords

ALGORITHMS; FUZZY SETS; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

EID: 43449087055     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-006-0866-y     Document Type: Article
Times cited : (9)

References (15)
  • 1
    • 0031706783 scopus 로고    scopus 로고
    • A neural network process model for abrasive flow machining operations
    • 1
    • Petri KL, Billo RE, Bidanda B (1998) A neural network process model for abrasive flow machining operations. J Manuf Sys 17(1):52-65
    • (1998) J Manuf Sys , vol.17 , pp. 52-65
    • Petri, K.L.1    Billo, R.E.2    Bidanda, B.3
  • 3
    • 0034627923 scopus 로고    scopus 로고
    • Prediction of die casting process parameters by using an artificial neural network model for zinc alloys
    • 1
    • Yarlagadda PK (2000) Prediction of die casting process parameters by using an artificial neural network model for zinc alloys. Int J Prod Res 38(1):119-139
    • (2000) Int J Prod Res , vol.38 , pp. 119-139
    • Yarlagadda, P.K.1
  • 4
    • 0029359146 scopus 로고
    • Fuzzy logic models for thermally based microelectronic manufacturing processes
    • 3
    • Xie H, Mahajan RL, Lee YC (1995) Fuzzy logic models for thermally based microelectronic manufacturing processes. IEEE Trans Semicond Manuf 8(3):219-226
    • (1995) IEEE Trans Semicond Manuf , vol.8 , pp. 219-226
    • Xie, H.1    Mahajan, R.L.2    Lee, Y.C.3
  • 5
    • 0033906458 scopus 로고    scopus 로고
    • Application of fuzzy logic for modeling of waterjet depainting
    • 1
    • Babets K, Geskin ES (2000) Application of fuzzy logic for modeling of waterjet depainting. Mach Sci Tech 4(1):81-100
    • (2000) Mach Sci Tech , vol.4 , pp. 81-100
    • Babets, K.1    Geskin, E.S.2
  • 6
    • 0343168084 scopus 로고    scopus 로고
    • Fuzzy multicriteria models for quality function deployment
    • Kim KJ, Moskowitz H, Dhingra A, Evans G (2000) Fuzzy multicriteria models for quality function deployment. Eur J Oper Res 121:504-518
    • (2000) Eur J Oper Res , vol.121 , pp. 504-518
    • Kim, K.J.1    Moskowitz, H.2    Dhingra, A.3    Evans, G.4
  • 7
    • 0028410373 scopus 로고
    • A fuzzy approach for multiresponse optimization: An off-line quality engineering problem
    • Lai YJ, Chang SI (1994) A fuzzy approach for multiresponse optimization: an off-line quality engineering problem. Fuzzy Sets Sys 63:117-129
    • (1994) Fuzzy Sets Sys , vol.63 , pp. 117-129
    • Lai, Y.J.1    Chang, S.I.2
  • 8
    • 0344035526 scopus 로고    scopus 로고
    • The process modeling of epoxy dispensing for microchip encapsulation using fuzzy linear regression with fuzzy intervals
    • Ip CKW, Kwong CK, Bai H, Tsim YC (2003) The process modeling of epoxy dispensing for microchip encapsulation using fuzzy linear regression with fuzzy intervals. Int J Adv Manuf Tech 22:417-423
    • (2003) Int J Adv Manuf Tech , vol.22 , pp. 417-423
    • Ip, C.K.W.1    Kwong, C.K.2    Bai, H.3    Tsim, Y.C.4
  • 9
    • 0041909933 scopus 로고    scopus 로고
    • Fuzzy regression approach to modeling transfer moulding for microchip encapsulation
    • Ip KW, Kwong CK, Wong YW (2003) Fuzzy regression approach to modeling transfer moulding for microchip encapsulation. J Mater Process Tech 140:147-151
    • (2003) J Mater Process Tech , vol.140 , pp. 147-151
    • Ip, K.W.1    Kwong, C.K.2    Wong, Y.W.3
  • 10
    • 27744443510 scopus 로고    scopus 로고
    • Fuzzy regression approach to process modeling and optimization of epoxy dispensing
    • 12
    • Kwong CK, Bai H (2005) Fuzzy regression approach to process modeling and optimization of epoxy dispensing. Int J Prod Res 43(12):2359-2375
    • (2005) Int J Prod Res , vol.43 , pp. 2359-2375
    • Kwong, C.K.1    Bai, H.2
  • 11
    • 0028407151 scopus 로고
    • Fuzzy linear regression with fuzzy intervals
    • Peters G (1994) Fuzzy linear regression with fuzzy intervals. Fuzzy Sets Sys 63:45-55
    • (1994) Fuzzy Sets Sys , vol.63 , pp. 45-55
    • Peters, G.1
  • 12
    • 0035313778 scopus 로고    scopus 로고
    • Outliers detection and confidence interval modification in fuzzy regression
    • Chen YS (2001) Outliers detection and confidence interval modification in fuzzy regression. Fuzzy Sets Sys 119:259-272
    • (2001) Fuzzy Sets Sys , vol.119 , pp. 259-272
    • Chen, Y.S.1
  • 13
    • 0008321310 scopus 로고
    • Possibilistic linear systems and their application to the linear regression model
    • Tanaka H, Watada J (1988) Possibilistic linear systems and their application to the linear regression model. Fuzzy Sets Sys 272:75-289
    • (1988) Fuzzy Sets Sys , vol.272 , pp. 75-289
    • Tanaka, H.1    Watada, J.2
  • 14
    • 0001875235 scopus 로고
    • Evaluation of fuzzy regression models
    • Pedrycz W, Savic DA (1991) Evaluation of fuzzy regression models. Fuzzy Sets Sys 39:51-63
    • (1991) Fuzzy Sets Sys , vol.39 , pp. 51-63
    • Pedrycz, W.1    Savic, D.A.2
  • 15
    • 0030127431 scopus 로고    scopus 로고
    • Further examination of fuzzy linear regression
    • Redden DT, Woodall WH (1996) Further examination of fuzzy linear regression. Fuzzy Sets Sys 79:203-211
    • (1996) Fuzzy Sets Sys , vol.79 , pp. 203-211
    • Redden, D.T.1    Woodall, W.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.