Analog circuit fault diagnosis based on Quantum Clustering based Multi-valued Quantum Fuzzification Decision Tree (QC-MQFDT)
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- 作者：Yiqian Cui ; yiqiancui@163.com" class="auth_mail" title="E-mail the corresponding author ; Junyou Shi ; Zili Wang
- 关键词：Decision tree ; Quantum clustering (QC) ; Quantum membership function (QMF) ; C4.5 algorithm ; Quantum fuzzy entropy (QFE)
- 刊名：Measurement
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：93
- 期：Complete
- 页码：421-434
- 全文大小：2931 K
文摘
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Decision tree is used as the base model since it proves to be an effective classification tool.
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An adaptive quantum fuzzification framework is incorporated to induce a decision tree.
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Quantum clustering method is adopted to obtain the parameters of the membership functions.
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The diagnosis performance is validated in both simulation study and hardware experiments.