Approximation of basic probability assignment in dempster-shafer theory based on correlation coefficient

Yehang Shou, Xinyang Deng, Xiang Liu, Hanqing Zheng, Wen Jiang

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

Dempster-Shafer (D-S) evidence theory is widely used for information fusion field. However, one of the main issues of D-S evidence theory is that, when large amount of focal elements in Basic Probability Assignment (BPA) are available, the fusion of BPA requires high computational cost and long computing time. This problem greatly limits its application. In this paper, a novel method for approximating a BPA based on correlation coefficient is present, which can reduce the computational cost of evidence combination effectively. At last, several numerical examples are given to illustrate the superiority of the proposed method.

源语言英语
主期刊名20th International Conference on Information Fusion, Fusion 2017 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9780996452700
DOI
出版状态已出版 - 11 8月 2017
活动20th International Conference on Information Fusion, Fusion 2017 - Xi'an, 中国
期限: 10 7月 201713 7月 2017

出版系列

姓名20th International Conference on Information Fusion, Fusion 2017 - Proceedings

会议

会议20th International Conference on Information Fusion, Fusion 2017
国家/地区中国
Xi'an
时期10/07/1713/07/17

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