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Knowledge acquisition method based on rough set in diagnostic expert system

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成果类型:
期刊论文
作者:
Li, Ai-Ping;Sui, Pin-Bo;Jia, Yan;Liao, Gui-Ping;Wu, Quan-Yuan
通讯作者:
Li, A.-P.(apli@x263.net)
作者机构:
[Jia, Yan; Wu, Quan-Yuan; Sui, Pin-Bo; Li, Ai-Ping] Sch. of Comp. Sci., Natl. Univ. of Defense Technol., Changsha 410073, China
[Liao, Gui-Ping] Dept. of Comp. and Info. Sci., Hu'nan Agric. Univ., Changsha 410073, China
通讯机构:
Sch. of Comp. Sci., Natl. Univ. of Defense Technol., China
语种:
英文
关键词:
Diagnostic knowledge;Expert system;Knowledge acquisition;Knowledge representation;Rough set
期刊:
软件学报
ISSN:
1000-9825
年:
2004
卷:
15
期:
SUPPL.
页码:
13-19
机构署名:
本校为其他机构
院系归属:
信息科学技术学院
摘要:
Knowledge acquisition is the bottleneck in developing expert system. It usually takes a long period to acquire disease knowledge using the traditional methods. Aiming at this problem, the paper presents the relationship between rough sets and rule-based rapeseed disease knowledge, namely the application of rough sets in knowledge acquisition from rapeseed disease expert. Then the exclusive rules, inclusive rules and disease images of rapeseed disease are built based on the RHINOS diagnosis model, and the definition of probability rule is put forward. At last, the paper presents the rule-based ...

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