DocumentCode :
3084268
Title :
The Expert System of Cow Disease Diagnosis Basing on the Uncertainty Evidence Illation
Author :
Yu Zhang ; Xiao Jian-hua ; Fan Fu-xiang ; Wang Hong-bin
Author_Institution :
Coll. of Veterinary Med., Northeast Agric. Univ., Harbin, China
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
Because of the wide existence of uncertainty evidence in the process of cow disease diagnosis, we established an uncertainty illation model-evidence-weighted uncertainty reasoning model, which is able to deal with the uncertainty. Also, we gave the representation of the uncertainty evidence, the algorithm of transmission, and an illustration of the application of this cow disease diagnosis. This model has well reflected the existence of the uncertainty in the process of the cow disease diagnosis, and reduced the influence of the subjective factor over the diagnosis accuracy.
Keywords :
diagnostic expert systems; diseases; medical diagnostic computing; cow disease diagnosis; uncertainty illation model; uncertainty reasoning model; Animals; Application software; Diagnostic expert systems; Diseases; Educational institutions; Medical diagnostic imaging; Medical expert systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
ISSN :
2151-7614
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
Type :
conf
DOI :
10.1109/ICBBE.2010.5514685
Filename :
5514685
Link To Document :
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