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A Method Combined Entropy with AHP Weighting Factors Affecting Safety on Construction Sites

机译:结合熵和层次分析加权因素影响施工现场安全的方法

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The method of AHP often used in weight computation is a mathematical disposal of the expert’s subjective estimation. Weight is attained from judgment matrix which is evaluated by expert. So the factor weight is influenced by the subjectivity of expert. Appraisals from different expert are always different because of deficiency and discrepancy of each person’s experience and knowledge. Traditional method of processing those weights from different experts is weighting expert’s evaluation or geometric mean. They either have the character of subjectivity or accept the evaluations equally. If those evaluations are relatively concentrated, appraisals in concentrated area are more reliability, and if those evaluations are not relatively consistent, all of those evaluations should be considered. Here entropy, a measure of uncertainty in informatics, is introduced to measure the consistency of expert evaluations, combined with fuzzy set. In this way, subjective evaluation becomes more objective. In this paper, AHP and entropy are combined to evaluate hazard identification, and fuzzy set is also introduced. Through iterative algorithm of AHP analysis, the method considers fully sub-factors in construction safety hazard analysis, and it reduces relative subjectivity of expert, and distinguishes the important factors affecting safety on construction sites. it can give a more reliable factor weight as a reference for decision making.
机译:权重计算中经常使用的AHP方法是专家主观估计的数学处理。权重由专家评估的判断矩阵得出。因此,因子权重受专家的主观性影响。由于每个人的经验和知识的不足和差异,来自不同专家的评估总是不同的。处理来自不同专家的权重的传统方法是对专家的评估或几何平均值进行加权。他们要么具有主观性,要么平等地接受评价。如果这些评估相对集中,则在集中区域的评估更加可靠;如果这些评估相对不一致,则应考虑所有这些评估。在此,引入熵(信息学中不确定性的一种度量),以结合模糊集来度量专家评估的一致性。这样,主观评价变得更加客观。本文结合层次分析法和熵值法对危险性进行评价,并引入模糊集。通过层次分析法的迭代算法,该方法充分考虑了施工安全隐患分析中的次要因素,降低了专家的相对主观性,区分了影响施工现场安全的重要因素。它可以提供更可靠的因子权重作为决策参考。

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