BP-DEMATEL在空港竞争力影响因素识别中的应用

空港竞争力影响因素众多且相互关联, 如何识别和区分其影响因素是学术界研究的焦点. 针对传统决策试验与评价实验室方法(DEMATEL)的缺点进行了改进, 提出了适合于影响因素识别的BP-DEMATEL方法, 利用BP 神经网络计算目标指标和影响因素指标之间的权值来得到直接关联矩阵, 然后利用传统DEMATEL方法分析影响因素. 利用BP-DEMATEL和空港实证数据进行了实证分析, 结果证实了方法的可行性, 从而为提升空港竞争力提供理论支撑. BP-DEMATEL方法丰富了影响因素研究的理论与方法, 为有效地提取根本型影响因素提供了可能性.

Influencing factors research of airports competitiveness based BP-DEMATEL model

It is a hot academic topic to identify the influencing factors of airports competitiveness which are numerous and interrelated. This study improves the traditional decision-making trial and evaluation laboratory (DEMATEL) method according to its limit and proposes BP-DEMATEL method that is suitable for the influencing factors identification. It exploits BP neural network to calculate the weights between object index and influencing factor index and uses the weights to get the direct-relation matrix, then takes advantage of DEMATEL method to study the influencing factors. The empirical analysis of airports competitiveness shows that this method is feasible and can supply theoretical support, so BP-DEMATEL method enriches the theory and method in studying influencing factors and supplies the possibility of exacting fundamental influencing factors effectively.