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    郑小霞, 钱锋. 基于变精度粗糙-模糊集模型的诊断知识获取[J]. 华东理工大学学报(自然科学版), 2006, (12): 1458-1462.
    引用本文: 郑小霞, 钱锋. 基于变精度粗糙-模糊集模型的诊断知识获取[J]. 华东理工大学学报(自然科学版), 2006, (12): 1458-1462.
    ZHENG Xiao-xia, QIAN Feng. Diagnostic Knowledge Extraction Based on Variable Precision Rough-Fuzzy Sets Integration Model[J]. Journal of East China University of Science and Technology, 2006, (12): 1458-1462.
    Citation: ZHENG Xiao-xia, QIAN Feng. Diagnostic Knowledge Extraction Based on Variable Precision Rough-Fuzzy Sets Integration Model[J]. Journal of East China University of Science and Technology, 2006, (12): 1458-1462.

    基于变精度粗糙-模糊集模型的诊断知识获取

    Diagnostic Knowledge Extraction Based on Variable Precision Rough-Fuzzy Sets Integration Model

    • 摘要: 提出一种基于变精度粗糙-模糊集模型的诊断知识获取算法,利用相似性聚类方法自动获取模糊隶属函数,将连续属性表示成模糊值,通过定义模糊相似关系和模糊相似类给出了变精度粗糙-模糊模型的近似表示,并引入蚁群算法求取模糊相似关系下的属性约简,进行诊断知识的获取。将其应用于精对苯二甲酸生产过程尾氧浓度故障诊断知识获取中,结果表明:该算法可以从故障数据中提取更客观有效的诊断规则,在实际故障诊断中具有很好的应用价值。

       

      Abstract: A method of diagnostic knowledge acquisition is proposed based on an integration model of variable precision rough sets and fuzzy sets.The method transforms the continuous attribute values into the fuzzy values by automatically deriving membership functions from a set of data with similarity clustering.With the concepts of fuzzy similarity relation and fuzzy similarity classes,lower and upper approximations of rough-fuzzy approximation space are given.Also,ant colony algorithm is introduced for attribute reduction,furthermore,diagnostic knowledge is obtained.The application to knowledge acquisition of pure terephthalic acid(PTA) oxidation process shows the proposed algorithm can find more objective and effective diagnostic rules from the quantitative data and is a good method in applications to fault diagnosis.

       

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