基于模糊聚类的不同机型分类方法研究

随着航空业飞速发展,飞机的种类越来越多,如何对不同机型进行归类,使飞机的设计、制造、使用、维护、保障等工作变得更加高效,是制造商和运营商亟待解决的问题。文中把飞机设计性能特征指标加以解析化和数量化,给出了模糊聚类分析对不同机型的分类计算方法,并实例分析,得到了不同机型的在不同水平下的相似关系。从而为不同机型的归类、相似机型的选择提供了一种方法,也可以作为飞机设计、营运信息、备件设施共享的依据,该方法可以综合机型多种特征,增强了不同机型分类的精确性、客观性和合理性。

Different Aircraft Models Classification Method Based on Fuzzy Clustering

With the rapid development of the aviation industry, aircraft types become more and more. How different models can be classified, to make aircraft design, manufacturing, use, maintenance, guarantee work becomes more efficient, are problems in manufacturers and operators. In the text, Index of aircraft design and performance characteristics was resolved and quantified, gives the fuzzy clustering analysis of different models of calculation method of classification, And case analysis. Received under different models at different levels of similarity relation. To select for different models of classification, similar models provides a method, also can be used as a basis for aircraft design, trading information, spare parts facilities sharing, the methods can be integrated models a variety of characteristics, enhanced accuracy, objectivity and reasonableness of the classification of different models.