动态系统的模糊时序知识表达、推理及其应用
Fuzzy Temporal Knowledge Representation,Reasoning and Their Applications to Dynamic Systems
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摘要: 本文以工业动态系统的知识表达和问题求解为背景,提出了一个描述动态系统行为的模 糊时序模型、相应的时序匹配与数值匹配和推理方法.并将它们应用于建立催化裂化装置的 故障诊断专家系统.这一研究有利于沟通人工智能与控制理论的联系.Abstract: Based on knowledge representation and reasoning of industrial dynamic systems, this paper proposes a fuzzy temporal model describing the dynamic system behaviors, the relevant temporal match and/or numerical match, and the reasoning approaches. The proposed methods have been used to establish an expert system for the fault diagnosis of a fluidized catalytic cracking unit. Obviously, this study may be helpful to link the artificial intelligence with control.
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Key words:
- Temporal knowledge /
- pattern match /
- temporal reasoning /
- fuzzy set /
- dynamic system
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