References
- S. C. Liu and S. Y. Liu, An efficient expert system for machine fault diagnosis, Int. J. Adv. Manuf. Tech. 21(9) (2003) 691–698.
- J. Leski, A fuzzy if-then rule-based nonlinear classifier, Int. J. Appl. Math. Comput. Sci. 13(2) (2003) 215–223.
- K. A. Kumar, Y. Singh and S. Sanyal, Hybrid approach using case-based reasoning and rule-based reasoning for domain independent clinical decision support in ICU, Expert Syst. Appl. 36(1) (2009) 65–71
- D. Y. Dou and Y. K. Zhao, A priority and diagnosis tree-based expert system for fault diagnosis of rotating machinery, Proceedings of the CSEE, 28(32) (2008) 82–87.
- Z. M. Yao, H. Y. Wang and Z. L. Wang, Priority diagnosis tree expert system of electronic devices controlling missile launch, in Proc. Int. Conf. Computer, Mechatronics, Control and Electronic Engineering, (IEEE Xplore, New York, 2010), pp. 267–269.
- A. Barua and K. Khorasani, Hierarchical fault diagnosis and fuzzy rule-based reasoning for satellites formation flight, IEEE T. Aero. Elec. Sys. 47(4) (2011) 2435–2456.
- F. W. Wang, J. Y. Shi and L. Wang, Method of diagnostic tree design for system-level faults based on dependency matrix and fault tree, in Proc. 18th Int. Conf. Industrial Engineering and Engineering Management (IEEE Xplore, New York, 2011), pp. 1113–1117.
- D. Q. Zhu, S. L. Yu and X. P. Chen, The studies of electronic component fault diagnosis based on the fault trees analysis and virtual instruments, Chinese Journal of Scientific Instrument, 23(1) (2002) 16–19.
- A. H. Chen, L. L. Jiang and Y. L. Liu, Fault diagnosis expert system model based on knowledge grid, Chinese Journal of Scientific Instrument, 30(11) (2009) 2450–2454.
- L. I. Kuncheva, How good are fuzzy if-then classifiers? IEEE T. Syst. Man Cy. B. 30(4) (2000) 501–509.
- Y. S. Lai, X. B. Li and Y. Xiong, Intelligent instrument fault diagnosis expert system based on fuzzy group decision-making, Chinese Journal of Scientific Instrument, 29(1) (2008) 206–211.
- Z. S. Wu, Fault intelligence diagnosis system based on FMADM for rotating machinery (Beijing University of Chemical Technology, Beijing, 2006).
- L. Du, L. Yuan and Y. Y. Wang, Power transformer fault fusion diagnosis using FMADM theory, Journal of Chongqing University, 33(12) (2010) 1–7.
- Z. Wang, M. Marek-Sadowska, K. H. Tsai and J. Rajski, Analysis and methodology for multiple fault diagnosis, IEEE T. Compt. Aid. D. 25(3) (2006) 558–575.
- C. C. Hon, Y. Y. Guh and K. M. Wang, Fuzzy multiple attribute and multiple hierarchical decision making, Comput. Math. Appl. 32(12) (1996) 109–119.
- F. Choobineh, An index for ordering fuzzy numbers. Fuzzy Set Syst. 54(4) (1993) 287–294.
- A. Sengupta and T. K. Pal, On comparing interval numbers, Eur. J. Oper. Res. 127(1) (2000) 28–43.
- C. Kahraman and A.C. Tolga, An alternative ranking approach and its usage in multi-criteria decision-making, Int. J. Comput. Int. Sys. 2(3) (2009) 219–235.
- J. Giarratano, Expert Systems: Principles and Programming (Brooks/Cole, Monterey, 2005).
- Y. S. Lai and X. B. Li, Reasoning strategies in uncertain situations for fault diagnosis of complex device, Journal of Electronic Measurement and Instrument, 25(2) (2011) 117–122.
- H. Li and J. Sun, Ranking-order case-based reasoning for financial distress prediction, Knowl.-based Syst. 21(8) (2008) 868–878.
- K. Bach, K. D. Althoff, R. Newo and A. Stahl, A case-based reasoning approach for providing machine diagnosis from service reports, in Proc. 19th Int. Conf. Case-Based Reasoning (Springer Berlin Heidelberg, Berlin, 2011)