DocumentCode :
501401
Title :
The Barrel Theory Based Decision-making Algorithm and Its Application
Author :
Huabo, Liu ; Liyuan, He ; Tao, Liu
Author_Institution :
Coll. of Resources & Environ., Huazhong Agric. Univ., Wuhan, China
Volume :
1
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
11
Lastpage :
14
Abstract :
The study proposed the barrel algorithm based on barrel principle. The concept and operative steps were introduced and tested in auto-grading of tobacco leaves. The experiment demonstrated that the barrel algorithm could get a satisfied classification results in solving pattern recognition problems tallying with barrel theory. The method may provide the tobacco industry with a rapid and accurate method to determine the quality grades of tobacco leaves, and give a clear approach to settle similar problems.
Keywords :
decision making; pattern recognition; tobacco industry; barrel theory; decision-making algorithm; pattern recognition; tobacco industry; tobacco leaves; Computational intelligence; Decision making; Educational institutions; Environmental economics; Fertilizers; Helium; Information management; Pattern recognition; Soil; Testing; Barrel algorithm; Barrel theory; Decision-making; Tobacco grading;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
Type :
conf
DOI :
10.1109/CINC.2009.117
Filename :
5231709
Link To Document :
بازگشت