引用本文:张广明,邱春玲,钱夏夷,黄水霞.模糊层次分析法和人工神经网络模型在电梯风险评估中的应用[J].控制理论与应用,2009,26(8):931~933.[点击复制]
ZHANG Guangming,Qiu Chun-ling,QIAN Xiayi,HUANG Shuixia.The application of fuzzy analytic hierarchy process and artificial neural network in elevator risk assessment[J].Control Theory and Technology,2009,26(8):931~933.[点击复制]
模糊层次分析法和人工神经网络模型在电梯风险评估中的应用
The application of fuzzy analytic hierarchy process and artificial neural network in elevator risk assessment
摘要点击 1990  全文点击 1617  投稿时间：2008-04-16  修订日期：2008-10-23
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DOI编号  10.7641/j.issn.1000-8152.2009.8.CCTA080350
  2009,26(8):931-933
中文关键词  模糊层次分析法  人工神经网络  风险评估  电梯
英文关键词  fuzzy analytic hierarchy process  artificial neutral network  risk assessment  elevator
基金项目  江苏省社会发展计划项目(BS2007083).
作者单位E-mail
张广明 南京工业大学 自动化与电气工程学院, 江苏 南京 210009  
邱春玲* 南京工业大学 qcl83127@163.com 
钱夏夷 江苏省特种设备安全监督检验研究院, 江苏 南京 210009  
黄水霞 南京工业大学 自动化与电气工程学院, 江苏 南京 210009  
中文摘要
      针对特种设备风险评估模型中的人工神经网络(ANN)技术一般采用定量加权平均法. 由于其权值是以专家经验为依据, 导致评估所需时间太长. 针对这个缺点, 建议将模糊层次分析法(F-AHP)和ANN相结合, 用于对电梯的风险评估中. 实验证明用此方法进行评估所用的时间比ANN方法要少, 且评估的准确性没有降低.
英文摘要
      The method of weighted averaging is commonly employed in the ANN model for the risk- assessment of special equipment. Because the selection of weights depends on the expert experience, the process of the assessment enerally takes a long time to complete. To deal with this problem, we propose a new risk-assessment model based on FAHP nd ANN. This model is applied to the risk-assessment of elevators. Results show that the assessment time is shorter nd the accuracy is not lower, in comparison with that from the ANN model.