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

机译:具有隶属函数的可变模糊集的起重机安全评价改进模型。

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摘要

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.
机译:起重机安全评估对于减少人员伤亡和经济损失具有重要意义。已经应用了各种评估方法来评估起重机的安全性。然而,当以间隔来描述针对每个级别的指标标准时,现有的起重机安全性评估模型并不理想。尽管可变模糊集(VFS)方法已成功解决了类似问题,但其评估过程却相当复杂,繁琐。在本文中,我们提供了一种改进的具有普通隶属函数的VFS评估方法,用于解决起重机安全问题,其中以间隔为标准描述了评估标准。为了证明我们提出的方法,将改进的可变模糊集(IVFS)方法应用于两个数值案例,包括在起重机安全评估中的应用。结果表明,本文提出的方法具有简化传统VFS评估过程的优点,当标准值定义为区间数时,可用于评估起重机安全性。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2017年第2017期|3190631.1-3190631.13|共13页
  • 作者

    Li Aihua; Zhao Zhangyan;

  • 作者单位

    Wuhan Univ Technol, Sch Logist Engn, Wuhan 430063, Peoples R China;

    Wuhan Univ Technol, Sch Logist Engn, Wuhan 430063, Peoples R China;

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  • 正文语种 eng
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