@inproceedings{f51d2724e8694f5abd3241b646a1cc17,
title = "Diagnostic knowledge discovery with rough set",
abstract = "Rough set theory and application method is used to deal with the vague and uncertain information in fault diagnostic knowledge discovery. By using the condition attribute and attribute value reduction, the diagnostic information reduction and rule extraction are achieved, and the effectiveness of diagnostic knowledge discovery is improved at the same time.",
keywords = "Fault diagnosis, Information system reduction, Knowledge discovery, Rough set",
author = "Xiyuan Peng and Yu Peng",
year = "2002",
language = "英语",
isbn = "7560317685",
series = "Proceedings of the Second International Symposium on Instrumentation Science and Technology",
pages = "1/622--1/625",
editor = "T. Jiubin and W. Xianfang and T. Jiubin and W. Xianfang",
booktitle = "Proceedings of the Second International Symposium on Instrumentation Science and Technology",
note = "Proceedings of the second International Symposium on Instrumentation Science and Technology ; Conference date: 18-08-2002 Through 22-08-2002",
}