Study for the best selection of rule conditions in automated extraction of fuzzy diagnostic rules

[1] Rajan V, Jie Ying, Chakrabarty S, et al. Machine learning algorithms for fault diagnosis in analog circuits[J]. IEEE Systems, Man, and Cybernetics, International Conference, 1998, 2:1874~1879 [2]Russo M. A genetic approach to fuzzy learning . Neuro-Fuzzy Systems International Symposium , 1996. 9~16 [3]Ziarko W, Ning Shan. Machine learning:rough sets perspective . Expert Systems for Development, Proceedings of International Conference , 1994.114~118 [4] 戎月莉. 计算机模糊控制原理及应用[M]. 北京:北京航空航天大学出版社,1995 Rong Yueli. The theory and application of computer fuzzy control[M]. Beijing:Beijing University of Aeronautics and Astronautics Press, 1995(in Chinese) [5] 姜德华,强茂山,周尚洁. 模糊数学在水电工程造价估算中的应用[J]. 水力发电学报,2000,(2):87~94 Jiang Dehua, Qiang Maoshan, Zhou Shangjie. Application of fuzzy math in cost estimate of hydro-electrical projects[J]. Journal of Hydroelectric Engineering, 2000,(2):87~94(in Chinese) [6] 黄文虎,夏松波,刘瑞岩.设备故障诊断原理、技术及应用[M]. 北京:科学出版社,1997. 174 Huang Wenhu, Xia Songbo, Liu Ruiyan. The theory, technology and application of the diagnosis of equipments[M]. Beijing:Science Press, 1997. 174(in Chinese) [7] 肖健华,吴今培,陈世权. 基于故障诊断专家数据库系统的模糊模式识别 . 模糊系统与数学,1999,13(1):41~46 Xiao Jianhua, Wu Jinpei, Chen Shiquan. An approach to fuzzy pattern recognition based on the database fault diagnosis expert system[J]. Fuzzy Systems and Mathematics, 1999, 13(1):41~46(in Chinese)