A New Combination Rule of Evidence Theory on Multi-Source Information Fusion

被引:1
|
作者
Lan, Xu-Hui [1 ]
Li, Ling-Zhi [1 ]
Guo, Yong-Min [1 ]
Li, Chang-Xi [1 ]
机构
[1] Air Force Early Warning Acad, Dept 4, Wuhan 430019, Hubei, Peoples R China
关键词
Evidence theory; Conflict of evidence; Combination rule;
D O I
10.1145/3180496.3180639
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
(1)On traditional evidence theory, conflict coefficient K is generally used to measure the conflict of evidence, which only consider the non-inclusive among evidences, and without considering the differences among the evidences. To solve this problem, this paper first proposed a modified measure method of evidence conflict, which measured evidence conflict through conflict coefficient K and the pignistic distance between evidences, this way not only reflects the non-inclusive among evidences, but also reflects the differences among the evidences; and then, this paper gives the process of combination rule of the new method; finally, typical examples showed the new method is effective and adaptability.
引用
收藏
页码:235 / 239
页数:5
相关论文
共 50 条
  • [1] Multi-Source Uncertain Information Fusion Method for Fault Diagnosis Based on Evidence Theory
    Mi, Jinhua
    Wang, Xinyuan
    Cheng, Yuhua
    Zhang, Songyi
    2019 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-QINGDAO), 2019,
  • [2] A similarity measure of complex-valued evidence theory for multi-source information fusion
    Pan, Lipeng
    Deng, Yong
    Pelusi, Danilo
    INFORMATION SCIENCES, 2023, 647
  • [3] Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion
    Tang, Yongchuan
    Chen, Yong
    Zhou, Deyun
    ENTROPY, 2022, 24 (11)
  • [4] Research on seamless positioning theory and method for multi-source information fusion
    Wang C.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2023, 52 (10): : 1804
  • [5] Research on the Method of Multi-source Information Fusion Based on Bayesian Theory
    Cheng, Hao
    Zhao, Jin
    Fu, Mian
    PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018), 2018, : 1760 - 1763
  • [6] Neural evidence fusion model with multi-source information and its application
    Wei, Shouzhi
    Jin, Ningde
    2007 INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, 2007, : 586 - +
  • [7] Multi-source information fusion based on rough set theory: A review
    Zhang, Pengfei
    Li, Tianrui
    Wang, Guoqiang
    Luo, Chuan
    Chen, Hongmei
    Zhang, Junbo
    Wang, Dexian
    Yu, Zeng
    INFORMATION FUSION, 2021, 68 : 85 - 117
  • [8] Multi-source Data Fusion Approach Based on Improved Evidence Theory
    Wang, Yongwei
    Yuan, Kaiguo
    Liu, Yunan
    Jia, Hongyong
    Qiu, Wei
    JOURNAL OF COMPUTERS, 2013, 8 (11) : 2864 - 2872
  • [9] Fast combination method of conflict evidences in multi-source uncertain information fusion
    Quan, Wen
    Wang, Xiao-Dan
    Shi, Zhao-Hui
    Bai, Dong-Ying
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2012, 34 (02): : 333 - 336
  • [10] A multi-source information fusion method for ship target recognition based on Bayesian inference and evidence theory
    Zhang, Yu
    Xiao, Qunli
    Deng, Xinyang
    Jiang, Wen
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2022, 42 (03) : 2331 - 2346