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Volumn 14, Issue 6, 2010, Pages 615-626

Monitoring defects of ceramic tiles using fuzzy subtractive clustering-based system identification method

Author keywords

Ceramic tiles; Convexity defects; Defects; Fuzzy logic; Fuzzy subtractive clustering; Sugeno type fuzzy inference system; Surface defects; Tile manufacturing

Indexed keywords

CERAMIC TILE; CERAMIC TILES; CONVEXITY DEFECTS; FUZZY INFERENCE SYSTEMS; FUZZY SUBTRACTIVE CLUSTERING; SUGENO-TYPE FUZZY INFERENCE SYSTEM;

EID: 77952875553     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-009-0430-4     Document Type: Article
Times cited : (4)

References (20)
  • 1
    • 0041321736 scopus 로고    scopus 로고
    • The application of fuzzy clustering analysis in the choice of fabric
    • Bai G, Liang Z (2000) The application of fuzzy clustering analysis in the choice of fabric. J Northwest Inst Text Sci Technol 14(2): 128-132.
    • (2000) J Northwest Inst Text Sci Technol , vol.14 , Issue.2 , pp. 128-132
    • Bai, G.1    Liang, Z.2
  • 2
    • 84974743850 scopus 로고
    • Fuzzy model identification based on cluster estimation
    • Chiu S (1994) Fuzzy model identification based on cluster estimation. J Intell Fuzzy Syst 2: 267-278.
    • (1994) J Intell Fuzzy Syst , vol.2 , pp. 267-278
    • Chiu, S.1
  • 3
    • 0034559292 scopus 로고    scopus 로고
    • Higher order fuzzy system identification using subtractive clustering
    • Demirli K, Muthukumaran P (2000) Higher order fuzzy system identification using subtractive clustering. J Intell Fuzzy Syst 9(3): 129-158.
    • (2000) J Intell Fuzzy Syst , vol.9 , Issue.3 , pp. 129-158
    • Demirli, K.1    Muthukumaran, P.2
  • 5
    • 0017439973 scopus 로고
    • Sieves for low autocorrelation binary sequences
    • Golay M (1977) Sieves for low autocorrelation binary sequences. Trans IEEE 23: 43-51.
    • (1977) Trans IEEE , vol.23 , pp. 43-51
    • Golay, M.1
  • 6
    • 27544433579 scopus 로고    scopus 로고
    • Fuzzy clustering modeling for surface finish prediction in fine turning process
    • Hayajneh M (2005) Fuzzy clustering modeling for surface finish prediction in fine turning process. Int J Mach Sci Technol 9: 437-451.
    • (2005) Int J Mach Sci Technol , vol.9 , pp. 437-451
    • Hayajneh, M.1
  • 7
    • 55649085055 scopus 로고    scopus 로고
    • Modelling the machinability of self-lubricated aluminium/alumina/graphite hybrid composites synthesized by the powder metallurgy method using a fuzzy subtractive clustering-based system identification method
    • Hayajneh M, Hassan A (2008) Modelling the machinability of self-lubricated aluminium/alumina/graphite hybrid composites synthesized by the powder metallurgy method using a fuzzy subtractive clustering-based system identification method. Int J Mach Machinability Mater 3(3/4): 252-271.
    • (2008) Int J Mach Machinability Mater , vol.3 , Issue.3-4 , pp. 252-271
    • Hayajneh, M.1    Hassan, A.2
  • 8
    • 0041929627 scopus 로고    scopus 로고
    • Modeling surface finish in end milling using fuzzy subtractive clustering-based system identification method
    • Hayajneh M, Radaideh S (2003) Modeling surface finish in end milling using fuzzy subtractive clustering-based system identification method. Mater Manuf Process 18(4): 653-665.
    • (2003) Mater Manuf Process , vol.18 , Issue.4 , pp. 653-665
    • Hayajneh, M.1    Radaideh, S.2
  • 9
    • 34249074102 scopus 로고    scopus 로고
    • Monitoring hole quality in a drilling process using a fuzzy subtractive clustering-based system identification method
    • Hayajneh M, Radaideh S (2006) Monitoring hole quality in a drilling process using a fuzzy subtractive clustering-based system identification method. J Test Eval 35(3): 297-302.
    • (2006) J Test Eval , vol.35 , Issue.3 , pp. 297-302
    • Hayajneh, M.1    Radaideh, S.2
  • 10
    • 0037118195 scopus 로고    scopus 로고
    • Application of fuzzy control to industrial bioprocesses in Japan
    • Horiuchi J, Michimasa K (2002) Application of fuzzy control to industrial bioprocesses in Japan. Fuzzy Sets Syst 128(1): 117-124.
    • (2002) Fuzzy Sets Syst , vol.128 , Issue.1 , pp. 117-124
    • Horiuchi, J.1    Michimasa, K.2
  • 11
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference system
    • Jang J (1993) ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23(3): 665-685.
    • (1993) IEEE Trans Syst Man Cybern , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.1
  • 14
    • 0016451032 scopus 로고
    • An experiment in linguistic synthesis using a fuzzy logic controller
    • Mamdani E, Assilian S (1975) An experiment in linguistic synthesis using a fuzzy logic controller. Int J Man Mach Stud 7(1): 1-13.
    • (1975) Int J Man Mach Stud , vol.7 , Issue.1 , pp. 1-13
    • Mamdani, E.1    Assilian, S.2
  • 16
    • 0032002188 scopus 로고    scopus 로고
    • Application of fuzzy in computer-aided VLSI design
    • Shragowitz E, Lee J, Kang Q (1998) Application of fuzzy in computer-aided VLSI design. IEEE Trans Fuzzy Syst 6: 163-172.
    • (1998) IEEE Trans Fuzzy Syst , vol.6 , pp. 163-172
    • Shragowitz, E.1    Lee, J.2    Kang, Q.3
  • 17
    • 45449126257 scopus 로고
    • Structure identification of fuzzy model
    • Sugeno M, Kang G (1988) Structure identification of fuzzy model. Fuzzy Sets Syst 28: 15-33.
    • (1988) Fuzzy Sets Syst , vol.28 , pp. 15-33
    • Sugeno, M.1    Kang, G.2
  • 18
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cybern 15: 116-132.
    • (1985) IEEE Trans Syst Man Cybern , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 20
    • 34248666540 scopus 로고
    • Fuzzy sets
    • Zadeh L (1965) Fuzzy sets. IEEE Inf Control 8: 338-353.
    • (1965) IEEE Inf Control , vol.8 , pp. 338-353
    • Zadeh, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.