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计算机工程 ›› 2008, Vol. 34 ›› Issue (13): 195-197. doi: 10.3969/j.issn.1000-3428.2008.13.071

• 人工智能及识别技术 • 上一篇    下一篇

模糊推理算法及信息不确定条件下的诊断应用

房建东1,2,赵于东3   

  1. (1. 天津大学电子信息工程学院,天津 300072;2. 内蒙古工业大学信息工程学院,呼和浩特 010051; 3. 内蒙古自治区农牧业厅信息中心,呼和浩特 010068)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-07-05 发布日期:2008-07-05

Fuzzy Reasoning Method and Its Diagnosis Application with Incomplete Certain Information

FANG Jian-dong1,2, ZHAO Yu-dong3   

  1. (1. College of Electronic Information Engineering, Tianjin University, Tianjin 300072; 2. College of Information Engineering, Inner Mongolia University of Technology, Huhhot 010051; 3. Information Center of Agriculture and Animal Husbandry Department of Inner Mongolia, Huhhot 010068)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-07-05 Published:2008-07-05

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

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