Abstract
Knowledge acquisition is the bottleneck to develop expert system. It usually takes a long period to acquire plant disease knowledge using the traditional methods. Aiming at this problem, this paper describes relations between rough set theory and rule-based description of plant diseases. Then the exclusive rules, inclusive rules and disease images of rapeseed disease are built based on the PDES diagnosis model, and the definition of probability rule is put forward. At last, the paper presents the rule-based automated induction reasoning method, including exhaustive search, post-processing procedure, estimation for statistic test and the bootstrap and resampling methods. We also introduce automated induction of the rule-based description, which is used in our plant diseases diagnostic expert system. The experimental results show that this method induces diagnostic rules correctly.
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© 2003 Springer-Verlag Berlin Heidelberg
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Li, AP., Liao, GP., Wu, QY. (2003). A Rule Induction Method of Plant Disease Description Based on Rough Sets. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_34
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DOI: https://doi.org/10.1007/3-540-39205-X_34
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Print ISBN: 978-3-540-14040-5
Online ISBN: 978-3-540-39205-7
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