摘要
针对前N次可拓变换未引起与之相关的信息元发生传导变换,而N+1次主动变换才能引起与之相关的信息元发生传导变换的实际问题,运用可拓变换、传导效应等,并通过给出信息元某特征对于目标特征灵敏度的概念,深入挖掘此类可拓变换及其传导变换的传导知识。通过对某型导弹武器系统定型过程中的试验数据进行分析,表明该方法是对已有传导知识数据挖掘理论的完善和补充,使传导知识挖掘的理论更加丰富、全面。
Considering the fact that the N extensive transformations do not cause conductive transformation of related information elements,and only N+1 active transformation can cause conductive transformation of related information element,in this study,extensive transformation and conduction effect are applied,and the conducted knowledge of such extensive transformations and conductive transformation is deeply mined by giving the concept of sensitivity of a certain feature of information elements related to target features.Through the test data analysis in the process of finalizing a missile weapon system,it is shown that this method is perfect and supplementary to the existing theory of data mining for conducted knowledge,and makes the theory of conducted knowledge mining more comprehensive.
作者
王丰
顾佼佼
林瑜
WANG Feng;GU Jiaojiao;LIN Yu(The Naval Aviation University,Yantai 264001,China)
出处
《智能系统学报》
CSCD
北大核心
2019年第5期1035-1039,共5页
CAAI Transactions on Intelligent Systems
关键词
可拓学
可拓变换
数据挖掘
传导知识
灵敏度
武器系统定型
信息元
extension
extension transformation
data mining
conduction knowledge
sensitivity
weapon system stereotype
information element
