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A New Discounting Approach to Conflict Information Fusion Using Multi-criteria of Reliability in Dempster-Shafer Evidence Theory

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 97))

Abstract

Dempster-Shafer evidence theory (DSET) is an important tool to combine uncertain and imprecise information from multiple sources. However, when combining information with highly conflict, it will lead counterintuitive results. A lot of research has been done to resolve the problem. In this paper, we focus on the approach to revise the basic probability assignment of information (evidence) through discount factors. Two methods are proposed to computer discount factors by multi-criteria of reliability measurement. Then we combine multi-source information in the improved Dempster’s rule. Finally, some numerical examples are used to illustrate the efficiency of our proposed methods.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai JiaoTong University, No. 800, Dongchuan Road, Minghang, Shanghai, 200240, China

    Jin Zhu

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  1. Jin Zhu
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Correspondence to Jin Zhu .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electronics, University of Antwerp, Antwerp, Belgium

    Peter Hellinckx

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

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Zhu, J. (2020). A New Discounting Approach to Conflict Information Fusion Using Multi-criteria of Reliability in Dempster-Shafer Evidence Theory. In: Barolli, L., Hellinckx, P., Enokido, T. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2019. Lecture Notes in Networks and Systems, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-33506-9_41

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  • DOI: https://doi.org/10.1007/978-3-030-33506-9_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33505-2

  • Online ISBN: 978-3-030-33506-9

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