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An Improved Model of Variable Fuzzy Sets with Normal Membership Function for Crane Safety Evaluation

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  • Aihua Li
  • Zhangyan Zhao

Abstract

Crane safety evaluation is significant for reducing the casualties and economic losses. Various evaluation methods have been applied to evaluate crane safety. However, when index standard with respect to every level is described in terms of intervals, existing crane safety evaluation models are not ideal. Although variable fuzzy sets (VFS) method has successfully solved similar problems, its evaluation processes are rather complex complicated and tedious. In this paper, we provided an improved VFS evaluation method with normal membership function for solving crane safety problem, in which the evaluation criteria are described in terms of intervals. To demonstrate our presented method, the improved variable fuzzy sets (IVFS) method was applied to two numerical cases including an application to crane safety assessment. It is shown that our proposed method possesses the merit to simplify assessment processes of traditional VFS and can be applied to assess crane safety when criteria values are defined as interval numbers.

Suggested Citation

  • Aihua Li & Zhangyan Zhao, 2017. "An Improved Model of Variable Fuzzy Sets with Normal Membership Function for Crane Safety Evaluation," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-13, February.
    • Handle: RePEc:hin:jnlmpe:3190631
    DOI: 10.1155/2017/3190631
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    Cited by:

    1. Yudan Dou & Xiaolong Xue & Zebin Zhao & Xiaowei Luo & Ankang Ji & Ting Luo, 2018. "Multi-Index Evaluation for Flood Disaster from Sustainable Perspective: A Case Study of Xinjiang in China," IJERPH, MDPI, vol. 15(9), pages 1-20, September.

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