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Random sets: A unified framework for multisource information fusion

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Journal of Electronics (China)

Abstract

The more diverse the ways and means of information acquisition are, the more complex and various the types of information are. The qualities of available information are usually uncertain, vague, imprecise, incomplete, and so on. However, the information is modeled and fused traditionally in particular, name some of the known theories: evidential, fuzzy sets, possibilistic, rough sets or conditional events, etc. For several years, researchers have explored the unification of theories enabling the fusion of multisource information and have finally considered random set theory as a powerful mathematical tool. This paper attempts to overall review the close relationships between random set theory and other theories, and introduce recent research results which present how different types of information can be dealt with in this unified framework. Finally, some possible future directions are discussed.

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Author information

Authors and Affiliations

  1. School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China

    Xiaobin Xu & Chenglin Wen

  2. Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, 310018, China

    Xiaobin Xu

Authors
  1. Xiaobin Xu
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  2. Chenglin Wen
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Corresponding author

Correspondence to Xiaobin Xu.

Additional information

Supported in part by the NSFC (No.60934009,60874105) and the ZJNSF (Y1080422, R106745), NCET (08-0345)

Communication author: Xu Xiaobin, born in 1980, male, Ph.D..

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Xu, X., Wen, C. Random sets: A unified framework for multisource information fusion. J. Electron.(China) 26, 723–730 (2009). https://doi.org/10.1007/s11767-009-0085-4

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  • DOI: https://doi.org/10.1007/s11767-009-0085-4

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