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An improved expression for information quality of basic probability assignment and its application in target recognition

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Abstract

Information quality is widely used in many applications. However, how to measure information quality in basic probability assignment accurately is still an open issue. Generalized expression for information quality is an effective method to measure information quality in basic probability assignment. Nevertheless, the counter-intuitive results may be obtained when statements are of intersection. To address this issue, a new expression for information quality of basic probability assignment is proposed in this paper considering the frame of discernment and the influence of intersection among statements which can cause changes of uncertainty. Numerical examples are illustrated to demonstrate the effectiveness of the proposed method. In addition, an application in target recognition is used to show the validity of proposed form of information quality in combining conflicting evidences.

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Acknowledgements

The authors greatly appreciate meticulous suggestions of anonymous reviewers and the encouragement of editor. This research is supported by the Fundamental Research Funds for the Central Universities (No. SWU1909785) and Training Program of Innovation and Entrepreneurship for Undergraduates of Chongqing City (No. S202010635174).

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Authors and Affiliations

  1. School of Computer and Information Science, Southwest University, No. 2 Tiansheng Road, BeiBei District, Chongqing, 400715, China

    Hanwen Li

  2. Business College, Southwest University, No.160 Xueyuan Road, Rongchang District, Chongqing, 402460, China

    Rui Cai

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  1. Hanwen Li
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Correspondence to Rui Cai.

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Li, H., Cai, R. An improved expression for information quality of basic probability assignment and its application in target recognition. Soft Comput 25, 6681–6690 (2021). https://doi.org/10.1007/s00500-021-05666-9

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