Application of fuzzy inference techniques to FMEA

Advances in Soft Computing

Volumn 34, Issue , 2006, Pages 161-171

  Tay, Kai Meng ^a   Lim, Chee Peng ^a  

^a SCHOOL OF PHYSICS   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33845422568     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/3-540-31662-0_13     Document Type: Article

References (11)

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3. Chrysler Corporation, Ford Motor Company, and General Motors Corporation (1995), Potential Failure Mode And Effect analysis (FMEA) Reference Manual.
4. Guimarães, Antonio C. F., and Lapa, CelsoMarcelo Franklin (2004), "Effects analysis fuzzy inference system in nuclear problems using approximate reasoning," Annals of nuclear Energy, vol 31, pp 107-115.
5. Ireson, G., Coombs, W., Clyde, F., and Richard Y. Moss (1995). Handbook of Reliability Engineering and Management. McGraw-Hill Professional; 2nd edition
6. Jang, J. S. R., Sun, C. T., and Mizutani, E. (1997). Neural-Fuzzy and soft Computing, Prentice-Hall 1997.
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8. Peláez, C. Enrique and Bowles, John B. (1996), "Using fuzzy cognitive maps as a system model for failure modes and effects analysis," Information Sciences, Volume 88, Issues 1-4, Pages 177-199.
9. Pillay, Anand and Wang, Jin (2003), "Modifi ed failure mode and effects analysis using approximate reasoning," Reliability Engineering & System Safety, Volume 79, Issue 1, Pages 69-85.
10. Xu, L., Tang, L . C., Xie, M., Ho, L. H., and Zhu, M. L (2002). "Fuzzy assessment of FMEA for engine systems," Reliability Engineering & System Safety, Volume 75, Issue 1, 2002, Pages 17-19.
11. Yeung, D. S., and Tsang, E. C. C. (1997), "Weighted fuzzy Production rules," Fuzzy sets and Systems, vol.8, pp.299-313.