Data Fusion in Environment Monitoring Systems with Extended Dempster-Shafer Theory

Jin Gang Li; Chun Na Zheng; Hong Wei Xuan; Yan Jiang

doi:10.4028/www.scientific.net/AMM.543-547.1074

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Data Fusion in Environment Monitoring Systems with...

Data Fusion in Environment Monitoring Systems with Extended Dempster-Shafer Theory

Abstract:

In order to improve the accuracy and reliability of multi-source heterogeneous data in the collection process for environment monitoring, according to the analysis of the limitations, the existing methods and the features of data collected, a new kind of data fusion approach based on extended Dempster-Shafer theory is proposed. The mathematical description of extended Dempster-Shafer theory based on the data fusion is defined and the corresponding model is developed in which the data fusion method and the implementation of the algorithm are discussed. Finally, the proposed approach is applied to a computing system. The study of this approach can supply scientific accordance for comprehensive monitoring of environment.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

1074-1077

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.1074

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Online since:

March 2014

Authors:

Jin Gang Li*, Chun Na Zheng, Hong Wei Xuan, Yan Jiang

Keywords:

Data Fusion, Environment Monitoring, Extended D-S Theory

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* - Corresponding Author

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