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Open Access

Data Fusion Algorithm Based on Fuzzy Sets and D-S Theory of Evidence

Beijing University of Civil Engineering and Architecture, Beijing 102616, China.
University of Electronic Science and Technology of China, Chengdu 611731, China.
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Abstract

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.

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Tsinghua Science and Technology
Pages 12-19
Cite this article:
Zhao G, Chen A, Lu G, et al. Data Fusion Algorithm Based on Fuzzy Sets and D-S Theory of Evidence. Tsinghua Science and Technology, 2020, 25(1): 12-19. https://doi.org/10.26599/TST.2018.9010138

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Received: 18 June 2018
Accepted: 15 November 2018
Published: 22 July 2019
© The author(s) 2020

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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