基于多层次模糊关联算法的通用航空产业知识挖掘研究  

Research on Knowledge Mining of General Aviation Industry Based on Multi-Level Fuzzy Association Algorithm

作　　者：柴华奇[1] 袁雅娜 CHAI Hua-qi;YUAN Ya-na(School of Management,Northwestern Polytechnical University,Xi'an 710129,China)

机构地区：[1]西北工业大学管理学院,陕西西安710129

出　　处：《数学的实践与认识》2021年第7期61-70,共10页Mathematics in Practice and Theory

基　　金：陕西省社会科学基金年度项目(2019S025);陕西省软科学项目(2019KRM047)。

摘　　要：为挖掘通用航空产业领域知识的类型与发展规律,明确产业规划、推动产业健康发展,利用采集的3869份通用航空产业主题相关的网页资料,根据主题信息的关键词对通用航空产业领域知识进行分类,并基于多层次模糊关联算法进行知识挖掘分析.结果表明,通用航空产业领域知识中的通用航空产业主体与通用航空产业产品存在着紧密的联系和规则,而且采用的多层次模糊关联算法比精确的关联规则算法更容易操作,结果更容易理解、更容易被应用于指导通用航空产业领域的发展.In order to mining the types and development laws of general aviation industry knowledge to clarify industrial planning and promote the healthy development of the industry,3869 materials related to the general aviation industry theme are used to classify the general aviation industry knowledge according to the key words of the theme information,as well as the knowledge mining analysis based on multi-level fuzzy association algorithm is conducted.The results show that there is a strong relationship and rules between the general aviation industry subject and the general aviation industry product,and the multi-level fuzzy association algorithm is easier to operate than the precise association rule algorithm,since its result is easier to be understood and to be applied to guide the development of general aviation industry.

关 键 词：通用航空产业 领域知识 多层次模糊关联算法 知识挖掘 

分 类 号：F562[经济管理—产业经济] TP311.13[自动化与计算机技术—计算机软件与理论]