Title :
Land Evaluation Method Based on Simplified Fuzzy Classification Association Rules
Author :
Yang, Jingfeng ; Xue, Yueju ; Hu, Yueming ; Chen, Zhimin ; Chen, Qiang
Author_Institution :
South China Agric. Univ., Guangzhou
Abstract :
To improve the intelligibility and efficiency of the land evaluation knowledge, a land evaluation method integrating simplified fuzzy classification association rules with fuzzy decision is proposed in this paper. Moreover, to reduce the complexity of the land evaluation models, an algorithm to eliminate redundant rules for obtaining the simplified fuzzy classification association rules is presented. The results of experiments demonstrate that land resource can be evaluated more accurately by using simplified fuzzy classification association rules, comparing with the results of the method combining the same number of original fuzzy classification association rules.
Keywords :
agriculture; data mining; decision theory; fuzzy set theory; pattern classification; agricultural land evaluation method; fuzzy decision; simplified fuzzy classification association rules; Association rules; Data mining; Databases; Electronic mail; Environmental management; Fuzzy systems; Human resource management; Predictive models; Soil; Yield estimation;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.381