The application of fuzzy analytic hierarchy process and artificial neural network in elevator risk assessment

Guang Ming Zhang, Chun Ling Qiu, Xia Yi Qian, Shui Xia Huang

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

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 generally takes a long time to complete. To deal with this problem, we propose a new risk-assessment model based on FAHP and ANN. This model is applied to the risk-assessment of elevators. Results show that the assessment time is shorter and the accuracy is not lower, in comparison with that from the ANN model.

Original languageEnglish
Pages (from-to)931-933
Number of pages3
JournalKongzhi Lilun Yu Yinyong/Control Theory and Applications
Volume26
Issue number8
StatePublished - Aug 2009

Keywords

  • Artificial neutral network
  • Elevator
  • Fuzzy analytic hierarchy process
  • Risk assessment

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