基于模糊推理的农业病虫害专家系统

Agriculture disease and pest diagnosis expert system based on fuzzy reasoning

针对农业病虫害问题的复杂性,将模糊推理技术应用到农业病虫害专家系统中,建立病虫害介绍、症状及权重数据库。考虑对病症发生起肯定与否定两方面作用的症状,根据隶属度阈值筛选用户提供的信息,选用加权欧式距离法计算相似性,给出有效的病症诊断结果与信度。赋予用户一定的权限以修改数据库。最后说明系统推理过程。

In view of the complexity of the disease and pest problem,fuzzy reasoning method was presented in the agriculture disease and pest diagnosis expert system, including disease and pest introduction, symptoms,database of weights. Considering both positive and negative effects of the disease and pest symptoms on the diagnosis results, threshold was used to choose information given by users. Weighted Euclidean distance method was introduced to calculate the comparability. Effective diagnosis results and reliabilities were given out. Besides,users were granted with certain authorities to modify database. Finally ,the reasoning process was illustrated.