摘要: 针对系统动态特征信息的随机性、模糊性和不完备性,借助模糊数学理论的逻辑推理方法,构造一种可实现农作物病虫害模糊推理诊断模型,给出在已知症状信息条件下的求解算法。仿真算例表明,模糊逻辑推理诊断模型及算法能够有效完成农作物病虫害在多因素、多症状及症状信息不完备条件下的诊断推理,具有一定智能化程度、简单实用等主要技术特点,表现出一定的诊断可靠性。
关键词:
模糊逻辑,
信息不确定,
智能决策
Abstract: For the randomness, fuzziness and incompleteness in the of system dynamic information, a fuzzy logic diagnosis model to the crops diseases and insect pests is built using the logic reasoning method in mathematical theory, and an algorithm is given to the known symptoms. Simulation example SHOES, the fuzzy logic algorithm can effectively complete the diagnosis on insect pests with the lack of many factors, symptoms and complete information, which is intelligent, simple and practical.
Key words:
fuzzy logic,
incomplete certain information,
intelligent decision
中图分类号:
房建东;赵于东. 模糊推理算法及信息不确定条件下的诊断应用[J]. 计算机工程, 2008, 34(13): 195-197.
FANG Jian-dong; ZHAO Yu-dong. Fuzzy Reasoning Method and Its Diagnosis Application with Incomplete Certain Information[J]. Computer Engineering, 2008, 34(13): 195-197.