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Volumn 31, Issue 1-2, 2006, Pages 164-174

Data mining and Taguchi method combination applied to the selection of discharge factors and the best interactive factor combination under multiple quality properties

Author keywords

Data mining; Discernibility matrix; Electrical discharge machining; K means; Rough set; Taguchi method

Indexed keywords

DATA MINING; ELECTRIC ACCIDENTS; ELECTRIC DISCHARGE MACHINING; SIGNAL TO NOISE RATIO;

EID: 33750354603     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-005-0180-0     Document Type: Article
Times cited : (10)

References (11)
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    • (2000) J Mater Process Technol , vol.102 , Issue.1-3 , pp. 48-55
    • Lin, J.L.1    Wang, K.S.2    Yan, B.H.3    Tarng, Y.S.4
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    • Optimization of the electrical discharge machining process bassed on the Taguchi method with fuzzy logics
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    • Lin, C.L.1    Chou, W.D.2    Lin, J.L.3
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    • The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics
    • Lin JL, Lin CL (2002) The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics. Int J Mach Tool Manuf 42(2):237-244
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.