Civil Aircraft Cost Drive Parameters Selecting Method Based on Grey Clustering Model

The scientific cost drive Parameters identification and screening can improve the civil airplane development cost estimation accuracy, and then realize control and management of the development cost effectively. According to the estimation of the conceptual design stage of civil aircraft cost is studied, considering the lack of the information of civil aircraft cost parameters, parameters have been collected exist the problem of Multicollinearity, firstly, through qualitative identification method of civil aircraft cost parameter system and construct a generalized grey relative correlation model and relational clustering model combination method of screening cost drive parameters, algorithm steps are given; and collected to verify the model at home and abroad of 9 different kinds of civil aircraft information, the result shows that the proposed model can effectively screening exit key cost drive parameters. The results show that the prediction method established in this paper has improved significantly on the accuracy, illustrating the effectiveness and scientific of this method.