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Research of Case-Based Reasoning Method Based on Rough sets

机译:基于粗糙集的基于案例推理方法的研究

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This paper provides a introduction to rough sets theory and its advantage in dealing with uncertain knowledge in fault diagnosis fields. A new method of case-based reasoning based on rough sets is developed. An algorithm for weight determination based on rough sets is proposed. The relations between decision table and case base are analyzed, and case retrieval is realized. An experimental example on fault diagnosis is given to prove the validity and veracity of the method. The results show a very good accord with the experimental work.
机译:本文介绍了粗糙集理论及其优势在处理故障诊断领域的不确定知识。开发了一种基于粗糙集的基于案例推理的新方法。提出了一种基于粗糙集的重量测定算法。分析了决策表和案例基础的关系,实现了案例检索。给出了关于故障诊断的实验示例,以证明该方法的有效性和准确性。结果表明,与实验工作非常好。

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