Study on agricultural knowledge discovery based on rough set theory

Authors:
Jianping ZhuGe
Affiliations:
School of Management, Zhejiang Shuren University, Hangzhou, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

Citing 3
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Abstract

Rough Set Theory has an outstanding advantage in imprecise, uncertain and incomplete information analysis and classification of knowledge acquisition. Upon the characteristics of agricultural knowledge, this paper research theory knowledge discovery methods based on Rough Set. In this paper, diagnosis of plant diseases and insect pests of agricultural application of knowledge discovery as an example illustrates the feasibility of the method, the data at pretreatment, the use of genetic algorithm-based attribute reduction, improve search efficiency.