Self-developing fuzzy expert system: A novel learning approach, fitting for manufacturing domain

Journal of Intelligent Manufacturing

Volumn 21, Issue 6, 2010, Pages 761-776

  Iqbal, Asif ^a   Dar, Naeem U ^b   He, Ning ^a   Hammouda, Muhammad M I ^b   Li, Liang ^a  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Pakistan)

Author keywords

Fuzzy reasoning; Milling; Optimization; Prediction; Self development

Indexed keywords

FUZZY EXPERT SYSTEMS; FUZZY REASONING; INCLUDING RULE; INDUSTRIAL ENVIRONMENTS; INNOVATIVE APPROACHES; INPUT/OUTPUT; KNOWLEDGE BASE; KNOWLEDGE ENGINEERS; LEARNING APPROACH; MACHINE-LEARNING; MANUFACTURING DOMAINS; MILLING; PREDICTION; REAL-WORLD PROBLEM; SELF-DEVELOPMENT; SELF-LEARNING; USER NEED; WELDING PROCESS;

ENGINEERING EDUCATION; FORECASTING; FUZZY SETS; KNOWLEDGE ENGINEERING; MILLING (MACHINING); OPTIMIZATION; PROBLEM SOLVING; USER INTERFACES;

EXPERT SYSTEMS;

EID: 78650175927     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-009-0252-3     Document Type: Article

References (16)

1. J.L. Castro J.J. Castro-Schez J.M. Zurita 2001 Use of a fuzzy machine learning technique in the knowledge-acquisition process Fuzzy Sets and Systems 123 307 320 10.1016/S0165-0114(01)00008-2 10.1016/S0165-0114(01)00008-2 (Pubitemid 32780465)
2. K.C. Chan 1996 A comparative study of the MAX and SUM machine-learning algorithms using virtual fuzzy sets Engineering Applications of Artificial Intelligence 9 5 515 522 10.1016/0952-1976(96)00045-0 10.1016/0952-1976(96) 00045-0 (Pubitemid 126364682)
3. Y. Chen A. Hui R. Du 1995 A fuzzy expert system for the design of machining operations International Journal of Machine Tools & Manufacture 35 12 1605 1621 10.1016/0890-6955(95)00024-R 10.1016/0890-6955(95)00024-R
4. Childs, T., Maekawa, K., Obikawa, T., & Yamane, Y. (2000). Introduction. In: Metal machining: Theory and applications (pp. 1-34). London: Arnold Publishers.
5. S. Cho S. Asfour A. Onar N. Kaundinya 2005 Tool breakage detection using support vector machine learning in a milling process International Journal of Machine Tools & Manufacture 45 241 249 10.1016/j.ijmachtools.2004.08.016 10.1016/j.ijmachtools.2004.08.016
6. B. Filipic M. Junkar 2000 Using inductive machine learning to support decision making in machining processes Computers in Industry 43 31 41 10.1016/S0166-3615(00)00056-7 10.1016/S0166-3615(00)00056-7
7. Iqbal, A., He, N., Li, L., Wen, W. Z., & Xia, Y. (2006a). Influence of tooling parameters in high-speed milling of hardened steels. Advances in Machining & Manufacturing Technology, 8, 676-680 (Key Engineering Materials). doi: 10.4028/0-87849-999-7.676.
8. Iqbal, A., He, N., Li, L., Wen, W. Z., & Xia, Y. (2006b). Empirical modeling the effects of cutting parameters in high-speed end milling of hardened AISI D2 under MQL environment. Proceedings of 2nd CIRP conference on high performance cutting, Vancouver, Canada.
9. A. Lekova D. Batanov 1998 Self-testing and self-learning fuzzy expert system for technological process control Computers in Industry 37 135 141 10.1016/S0166-3615(98)00089-X 10.1016/S0166-3615(98)00089-X
10. H. Lounis 1995 Knowledge-based systems verification: A machine-learning based approach Expert Systems with Applications 8 3 381 389 10.1016/0957- 4174(94)E0029-T 10.1016/0957-4174(94)E0029-T
11. L. Monostori 2003 AI and machine learning techniques for managing complexity, changes, and uncertainty in manufacturing Engineering Applications of Artificial Intelligence 16 277 291 10.1016/S0952-1976(03)00078-2 10.1016/S0952-1976(03)00078-2
12. Orchard, R. A. (1998). Fuzzy CLIPS, Version 6.04A; User's Guide, National Research Council, Canada.
13. P. Priore D. de la Fuente J. Puente J. Parreno 2006 A comparison of machine learning algorithms for dynamic scheduling of flexible manufacturing systems Engineering Applications of Artificial Intelligence 19 247 255 10.1016/j.engappai.2005.09.009 10.1016/j.engappai.2005.09.009 (Pubitemid 43177588)
14. Wang, S. Q., Li, Z. H., & Zhang, Z. P. (2006). Application of advanced self-adaptation learning and inference techniques to fuzzy Petri net expert system. Proceedings of international conference on machine learning and cybernetics (pp. 2227-2232).
15. G.I. Webb 1996 Integrating machine learning with knowledge-acquisition through direct interaction with domain experts Knowledge-Based Systems 9 253 266 10.1016/0950-7051(96)01033-7 10.1016/0950-7051(96)01033-7 (Pubitemid 126363058)
16. D.L. Xu J. Liu J.B. Yang G.P. Liu J. Wang I. Jenkinson J. Ren 2007 Inference and learning methodology of belief-rule-based expert system for pipeline leak detection Expert Systems with Applications 32 1 103 113 10.1016/j.eswa.2005.11.015 10.1016/j.eswa.2005.11.015 (Pubitemid 44376575)