摘要
In cyber-physical systems, multidimensional data fusion is an important method to achieve comprehensive evaluation decisions and reduce data redundancy. In this paper, a data fusion algorithm based on fuzzy set theory and Dempster-Shafer(D-S) evidence theory is proposed to overcome the shortcomings of the existing decision-layer multidimensional data fusion algorithms. The basic probability distribution of evidence is determined based on fuzzy set theory and attribute weights, and the data fusion of attribute evidence is combined with the credibility of sensor nodes in a cyber-physical systems network. Experimental analysis shows that the proposed method has obvious advantages in the degree of the differentiation of the results.
In cyber-physical systems, multidimensional data fusion is an important method to achieve comprehensive evaluation decisions and reduce data redundancy. In this paper, a data fusion algorithm based on fuzzy set theory and Dempster-Shafer(D-S) evidence theory is proposed to overcome the shortcomings of the existing decision-layer multidimensional data fusion algorithms. The basic probability distribution of evidence is determined based on fuzzy set theory and attribute weights, and the data fusion of attribute evidence is combined with the credibility of sensor nodes in a cyber-physical systems network. Experimental analysis shows that the proposed method has obvious advantages in the degree of the differentiation of the results.
基金
supported by the National Natural Science Foundation of China (No. 61462089)
the Fundamental Research Funds for Beijing University of Civil Engineering and Architecture (No. X18002)
作者简介
Guangzhe Zhao received the PhD degree from Nagoya University,Japan in 2012.He is currently an associate professor with Beijing University of Civil Engineering and Architecture.His research interests include image processing and big data,E-mail:zhaoguangzhe@bucea.edu.cn;Corresponding author:Aiguo Chen received the BS degree from the University of Electronic Science and Technology of China in 2004.He got the PhD degree in signal and information processing from Beijing University of Posts and Telecommunications,China in 2009.He was a visiting scholar in Arizona State University,USA from Jan.2013 to Jan.2014.He is currently an associate professor at the School of Computer Science and Engineering,University of Electronic Science and Technology of China,China.His main research interests include cloud computing,cyber-physical system,and big data,E-mail:agchen@uestc.edu.cn;Guangxi Lu received the BS degree from North China University of Technology in 2016.Currently,he is a PhD candidate majoring in software engineering at University of Electronic Science and Technology of China.His research interests include machine learning and deep neural networks.radar,E-mail:m18328401268@163.com;Wei Liu received the BS and MS degrees in computer science from the University of Electronic Science and Technology of China in 2014 and 2017,respectively.His research interests include cyber-physical system and big data.radar,E-mail:uestcliuwei@163.com.
