The combining rule of Dempster-Shafer theory for correlative evidence

被引:12
|
作者
Wang, Ping [1 ]
机构
[1] Xihua Univ, Elect & Informat Coll, Chengdu 610039, Peoples R China
关键词
data fusion; correlation coefficient; D-S evidence theory;
D O I
10.2991/iske.2007.106
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The thesis puts forward an improvement method for the combining rule of Dempster-Shafer evidence theory based on the correlation between evidences. Different from D-S theory, the correlation coefficient between evidences is introduced; and varies with the evidence fusion. By decreasing the probability evaluation of certainty and increasing the probability evaluation of uncertainty, the effect of correlative evidence to fusion result is reduced, and then we can get the fusion result which is closer to the fact. There is an example to expand the advantage of this method. The example shows that the method is helpful to find a correct result.
引用
收藏
页数:1
相关论文
共 50 条
  • [1] The reliable combination rule of evidence in Dempster-Shafer theory
    Wang, Ping
    [J]. CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 2, PROCEEDINGS, 2008, : 166 - 170
  • [2] Combining nonspecificity measures in Dempster-Shafer theory of evidence
    Abellan, Joaquin
    [J]. INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 2011, 40 (06) : 611 - 622
  • [3] A modified combination rule to conflict evidence for Dempster-Shafer theory
    Su, Xiangyang
    Dong, Zengshou
    [J]. 2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN), 2015, : 993 - 996
  • [4] A flexible rule for evidential combination in Dempster-Shafer theory of evidence
    Ma, Wenjun
    Jiang, Yuncheng
    Luo, Xudong
    [J]. APPLIED SOFT COMPUTING, 2019, 85
  • [5] A model of a diagnostic rule in the Dempster-Shafer theory
    Straszecka, Ewa
    [J]. ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING - ICAISC 2006, PROCEEDINGS, 2006, 4029 : 998 - 1007
  • [6] Association rules and Dempster-Shafer theory of evidence
    Murai, T
    Kudo, Y
    Sato, Y
    [J]. DISCOVERY SCIENCE, PROCEEDINGS, 2003, 2843 : 377 - 384
  • [7] A Reduced Algorithm for the Dempster-Shafer Theory of Evidence
    Luan, Cuiju
    Wang, Xiaofeng
    Zhang, Hengzhen
    Jin, Shishuang
    [J]. BEYOND EXPERIENCE IN RISK ANALYSIS AND CRISIS RESPONSE, 2011, 16 : 306 - 310
  • [8] Dempster-Shafer Evidence Combining for (Anti)-Honeypot Technologies
    Hayatle, Osama
    Youssef, Amr
    Otrok, Hadi
    [J]. INFORMATION SECURITY JOURNAL, 2012, 21 (06): : 306 - 316
  • [9] Local computations in Dempster-Shafer theory of evidence
    Jirousek, Radim
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2012, 53 (08) : 1155 - 1167
  • [10] An Improved Algorithm for Dempster-Shafer Theory of Evidence
    Ye, Qing
    Wu, Xiaoping
    Zhai, Dingjun
    [J]. 2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2, 2008, : 13 - 18