Combination Rule Based on Proportional Redistribution of Generalized Conflict for Evidence Theory

被引:0
|
作者
FU Yaowen [1 ]
YANG Wei [1 ]
机构
[1] College of Electronic Science and Engineering, National University of Defense Technology
基金
中国国家自然科学基金;
关键词
Evidence theory; Evidence conflict; Generalized conflict; Combination rule;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Dempster’s rule is a powerful tool for combining multiple distinct pieces of evidence in evidence theory. When conflict between pieces of evidence is high,the combination result of Dempster’s rule is counterintuitive. Many alternative combination rules have been proposed. Most of these alternative combination rules are based on the redistribution of Shafer’s conflicting mass. The quantitative definition of generalized conflict is given. Based on Proportional generalized conflict redistribution(PGCR), a new class of evidence combination rules is proposed and the links with some existed rules are established. A special instance of the PGCR rules referred to as PGCR-A is proposed by using the subsets’ average support degrees as the proportional coefficients. PGCR-A rule can deal with the combination of high conflict evidence. During the process of combination, PGCR-A rule can also automatically determine the weights of the basic belief mass converging to the more specific subsets according to the focal elements’ cardinalities. Since PGCR-A rule is not associative, a modified version is proposed to make it quasi-associative.
引用
收藏
页码:533 / 538
页数:6
相关论文
共 50 条
  • [1] Combination Rule Based on Proportional Redistribution of Generalized Conflict for Evidence Theory
    Fu Yaowen
    Yang Wei
    [J]. CHINESE JOURNAL OF ELECTRONICS, 2014, 23 (03) : 533 - 538
  • [2] A Simple Proportional Conflict Redistribution Rule
    Smarandache, F.
    Dezert, J.
    [J]. INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS, 2005, 3 (J05): : 1 - 36
  • [3] A modified combination rule in generalized evidence theory
    Wen Jiang
    Jun Zhan
    [J]. Applied Intelligence, 2017, 46 : 630 - 640
  • [4] A modified combination rule in generalized evidence theory
    Jiang, Wen
    Zhan, Jun
    [J]. APPLIED INTELLIGENCE, 2017, 46 (03) : 630 - 640
  • [5] A combination rule of evidence theory based on reallocation of the basic probability assigned to conflict
    Pu, Shujin
    Yang, Shenyuan
    Hu, Weiwei
    [J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 4264 - +
  • [6] New Evidence Combination Method Based on Redistribution of Global Conflict
    Zhu, Jing
    Wang, Chen-xi
    Zhang, Cheng-jun
    Zhang, Shi-kai
    [J]. SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 : 930 - +
  • [7] 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
  • [8] A New Proportional Redistribution Rule of Incompatible Belief Mass for Belief Combination
    Fu Yaowen
    Jia Yuping
    Yang Wei
    Zhuang Zhaowen
    Liu Tao
    [J]. CHINESE JOURNAL OF ELECTRONICS, 2009, 18 (04) : 655 - 659
  • [9] A Robust DS Combination Method Based on Evidence Correction and Conflict Redistribution
    Ye, Fang
    Chen, Jie
    Tian, Yuan
    [J]. JOURNAL OF SENSORS, 2018, 2018
  • [10] Improvement of Proportional Conflict Redistribution Rules of Combination of Basic Belief Assignments
    Dezert, Théo
    Dezert, Jean
    Smarandache, Florentin
    [J]. Journal of Advances in Information Fusion, 2021, 16 (01): : 48 - 74