Abstract
The main methods of diagnosis for animal is symptom, generally the end diagnosis conclusion can be get by experiment after diagnosis by symptoms, for this reason, the symptom, epidemic character and pathological changes are most important factors in diagnosis. Based on the level of diagnosis in china, the knowledge acquisition and representation methods were stated in this papers, the animal disease diagnosis knowledge was acquired from experts in animal disease and books, the knowledge was represented in rule, and one factor is assigned to each condition of a rule, representing its significance in drawing the conclusion. This results in better representation, and facilitates knowledge acquisition and maintenance.
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© 2009 Springer Science+Business Media, LLC
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Xiao, J., Wang, H., Zhangs, R., Luan, P., Li, L., Xu, D. (2009). KNOWLEDGE ACQUISITION AND REPRESENTATION OF THE GENERAL AUXILIARY DIAGNOSIS SYSTEM FOR COMMON DISEASE OF ANIMAL. In: Li, D., Zhao, C. (eds) Computer and Computing Technologies in Agriculture II, Volume 2. CCTA 2008. IFIP Advances in Information and Communication Technology, vol 294. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0211-5_18
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DOI: https://doi.org/10.1007/978-1-4419-0211-5_18
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