Volume 8 Number 5 (May 2013)
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JSW 2013 Vol.8(5): 1157-1161 ISSN: 1796-217X
doi: 10.4304/jsw.8.5.1157-1161

FS-DS based Multi-sensor Data Fusion

Shunyuan Sun1, Jing Gao1, Minfang Chen1, Baoguo Xu1, Zhiguo Ding2

1School of IOT Engineering, Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, 214122, P.R. China.
2School of Electrical, Electronic, and Computer Engineering, Newcastle University, UK

AbstractConsidering the problem of the uncertainty of data in information gathering system, a multi-sensor information fusion method based on fuzzy set and evidence theory (FS-DS) is proposed. The fuzzy support probability of the uncertain information is defined by making using of the correlation function, Then it is received the credibility of the information measured by each sensor form the membership function. And , will the support and confidence into basic probability function. Finally, the sensors with higher measurement precision are identified by D-S evidence combination. The proposed method can improve the problem of the basic probability assignment function is difficult to be determined and the calculation of degree of mutual support is absolute are improved. The practical application verifies that the fusion result has higher accuracy and reliability.

Index TermsMulti-sensor, data fusion, evidence theory, fuzzy set.


Cite: Shunyuan Sun, Jing Gao, Minfang Chen, Baoguo Xu, Zhiguo Ding, "FS-DS based Multi-sensor Data Fusion," Journal of Software vol. 8, no. 5, pp. 1157-1161, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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