基于ANP和熵的起重机械吊装训练评价组合赋权法

Combination Weighting Method in Crane Training Evaluation Based on ANP and entropy

为了给起重机械吊装训练提供一个科学的评价模型,采用了基于网络层次分析法(ANP)与熵值法集成的组合赋权法建立起重机械吊装评价方法。首先分析了影响吊装训练的关键因素,在此基础上建立一个科学的评价指标体系;然后运用网络层次分析法分析各指标间相互影响的关系并确定主观赋值权重,用熵值法根据各指标的客观属性确定客观赋值权重;最后通过组合赋权法确定各指标的最终权重,使评价结果既反映出各指标的客观属性,同时也能考虑到决策者或者专家的意见。应用结果表明,该方法确定的权重更符合吊装训练的实际。

A crane training evaluation model based on the combination weighting method combining Analytic Network Process （ANP） and entropy method is given by this paper for providing a scientific evaluation model to crane training. First,the indexes which affect training is analyzed and a scientific evaluation indexes system is established; then the relationship of each index is analyzed and the subjective weights of each index is given by ANP,the objective indexes weight is decided by entropy method based on the objectively attribute of each index; last the final weight is determined by the combination weighting method consider both the objectively attribute of each index and the opinion of decision maker or specialist. The result shows that the weights decided by the combination weighting method is constant the crane training practice.