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MAGDM Method with Pythagorean 2-Tuple Linguistic Information and Applications in the HSE Performance Assessment of Laboratory

机译:毕达哥拉斯二元组语言信息的MAGDM方法及其在实验室HSE性能评估中的应用

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摘要

There is a significant gap between the safety management in the Chinese colleges and many renowned colleges in other countries. The subject of this study is how to assess the performance of health, safety, and environment (HSE) in Chinese college laboratories. The assessment system is established by three parts. First of all, HSE performance assessment indicators for laboratories in Chinese colleges are identified based on the previous studies. Then set valued iteration is used to calculate the weights of the various indicators. Following that, multiple attribute group decision-making (MAGDM) method with Pythagorean 2-tuple linguistic operators is used to assess the laboratory HSE performance in colleges. Finally, taking a college in Sichuan Province as an example, the proposed method is used to assess the laboratory HSE performance. The assessment result shows that the proposed method used in this study is practical and feasible.
机译:中国大学的安全管理与其他国家的许多著名大学之间存在很大的差距。本研究的主题是如何评估中国大学实验室的健康,安全和环境(HSE)绩效。评估系统分为三个部分。首先,在以往研究的基础上,确定了中国高校实验室的HSE绩效评估指标。然后使用设定值迭代法计算各种指标的权重。然后,采用毕达哥拉斯2元组语言操作员的多属性组决策(MAGDM)方法来评估实验室HSE的表现。最后,以四川省某高校为例,采用该方法对实验室的HSE性能进行评估。评估结果表明,所提出的方法是可行的。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第14期|3732808.1-3732808.9|共9页
  • 作者单位

    Sichuan Normal Univ, Sch Business, Chengdu 610101, Sichuan, Peoples R China;

    Sichuan Normal Univ, Sch Business, Chengdu 610101, Sichuan, Peoples R China;

    Sichuan Normal Univ, Sch Math Sci, Chengdu 610101, Sichuan, Peoples R China;

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