DocumentCode :
2181747
Title :
Research on Diagnosis Process of Forest Pests and Diseases Based on Fuzzy Reasoning
Author :
Zhang, Yanrong ; Wang, Nihong ; Wang, Chang ; Wu, Changwei
Author_Institution :
Coll. of Eng. Technol., Northeast Forestry Univ., Harbin, China
Volume :
1
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
166
Lastpage :
169
Abstract :
This paper applies the fuzzy reasoning into the process of the forestry pests and diseases´s diagnosis. Firstly, it introduces the fuzzy reasoning and the expert system, and then a new design method is proposed, which can carries on the objective quantitative analysis and effective processing to each kind of indefinite information. At last this method is taken into application and The practice indicates that it can enhances forestry pests and diseases expert system´s reliability and the intelligence.
Keywords :
diagnostic expert systems; diseases; fuzzy reasoning; disease diagnosis; expert system; forest pest; fuzzy reasoning; objective quantitative analysis; Computers; Diseases; Expert systems; Forestry; Fuzzy reasoning; Libraries; diagnosis; expert system; fuzzy reasoning; pests and diseases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2010 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-8094-4
Type :
conf
DOI :
10.1109/ISCID.2010.59
Filename :
5692690
Link To Document :
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