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Improving performance evaluation of health, safety and environment management system by combining fuzzy cognitive maps and relative degree analysis

机译:结合模糊认知图和相对度分析提高健康安全环境管理体系绩效评价

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The performance evaluation of health, safety and environment management system (HSE-MS) is considered to be an effective way to eliminate out dated measures and help managers adopt proper rectification measures. The objective of this paper is to design a weight distribution model for HSE-MS performance evaluation, the importance of which stems from the current lack of integrated approaches for interpreting and ranking HSE-MS performance evaluation elements. Initially, Fuzzy Cognitive Maps (FCM) is adopted to illustrate the direct and indirect effects of HSE-MS elements on system performance indicators, and the results of FCM are used to develop leading factors helpful for decision making in an intensive management system. Then, the weight distribution from FCM is amended by Relative Degree Analysis (RDA), the aim of which is to combine the advantages of quantitative and qualitative knowledge driven methods. Finally, the level of HSE-MS performance is obtained and analyzed. The whole performance evaluation framework highlights the potential correlations of evaluation elements as well as expert opinions, which will improve the reasonability of the HSE-MS performance evaluation. (C) 2016 Elsevier Ltd. All rights reserved.
机译:健康,安全和环境管理系统(HSE-MS)的绩效评估被认为是消除过时措施并帮助管理人员采取适当整改措施的有效方法。本文的目的是设计用于HSE-MS性能评估的权重分布模型,其重要性是由于目前缺乏用于解释和排名HSE-MS性能评估要素的集成方法。最初,采用模糊认知图(FCM)来说明HSE-MS元素对系统性能指标的直接和间接影响,并且使用FCM的结果来开发有助于在集约化管理系统中进行决策的主导因素。然后,通过相对度分析(RDA)修正了FCM的权重分布,其目的是结合定量和定性知识驱动方法的优点。最后,获得并分析了HSE-MS性能水平。整个绩效评估框架突出了评估要素和专家意见之间的潜在关联,这将提高HSE-MS绩效评估的合理性。 (C)2016 Elsevier Ltd.保留所有权利。

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