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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
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.
作者姓名:张广明  邱春玲  钱夏夷  黄水霞
作者单位:1. 南京工业大学,自动化与电气工程学院,江苏,南京,210009
2. 江苏省特种设备安全监督检验研究院,江苏,南京,210009
基金项目:江苏省社会发展计划项目(BS2007083).
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.

关 键 词:模糊层次分析法    人工神经网络    风险评估    电梯
收稿时间:2008/4/16 0:00:00
修稿时间:2008/10/23 0:00:00

The application of fuzzy analytic hierarchy process and artificial neural network in elevator risk assessment
ZHANG Guangming,Qiu Chun-ling,QIAN Xiayi and HUANG Shuixia.The application of fuzzy analytic hierarchy process and artificial neural network in elevator risk assessment[J].Control Theory & Applications,2009,26(8):931-933.
Authors:ZHANG Guangming  Qiu Chun-ling  QIAN Xiayi and HUANG Shuixia
Affiliation:College of Automation and Electrical Engineering, Nanjing University of Technology, Nanjing Jiangsu 210009, China,Nanjing university of technolog,Jiangsu Province Special Equipment Safety Supervision Inspection Institute, Nanjing Jiangsu 210009, China and College of Automation and Electrical Engineering, Nanjing University of Technology, Nanjing Jiangsu 210009, China
Abstract: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.
Keywords:fuzzy analytic hierarchy process  artificial neutral network  risk assessment  elevator
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