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Author:

Xu, Lijia (Xu, Lijia.) | Chen, Yangzhou (Chen, Yangzhou.) (Scholars:陈阳舟) | Cui, Pingyuan (Cui, Pingyuan.)

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EI Scopus

Abstract:

In recent years, numerous multisensor data fusion systems have been developed for wide application. There are many algorithms in multisensor data fusion, D-S evidence theory is a useful method for dealing with uncertainty problems. This paper describes the main features of the evidential combination algorithm which is implemented in our research, It also gives improvement to the shortage of its combine rule and gives it's new rule, thus we can combine high conflicted evidences with different weights, which have been calculated through different information included in the numerous evidences. The examples have been done to demonstrate the efficiency of the new combine rule, it can improve the reliability of the combination results.

Keyword:

Probability Sensor data fusion Algorithms Reliability Automation Intelligent control

Author Community:

  • [ 1 ] [Xu, Lijia]Coll. of Electron. Info./Contr. Eng., Beijing University of Technology, Beijing 100022
  • [ 2 ] [Xu, Lijia]Coll. of Information and Technology, Sichuan Agriculture University, Yaan 100022
  • [ 3 ] [Chen, Yangzhou]Coll. of Electron. Info./Contr. Eng., Beijing University of Technology, Beijing 100022
  • [ 4 ] [Cui, Pingyuan]Coll. of Electron. Info./Contr. Eng., Beijing University of Technology, Beijing 100022

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Source :

Year: 2004

Volume: 4

Page: 3124-3128

Language: Chinese

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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