An ECR-PCR rule for fusion of evidences defined on a non-exclusive framework of discernment

被引:14
作者
Deng, Xinyang [1 ]
Cui, Yebi [1 ]
Jiang, Wen [1 ]
机构
[1] Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Peoples R China
基金
中国国家自然科学基金;
关键词
D number theory; Dempster-Shafer theory; Evidence combination; Non-exclusiveness; Proportional Conflict Redis-tribution rule; Information fusion; ROUGH SET-THEORY; UNCERTAINTY MEASURE; FEATURE-SELECTION; CLASSIFICATION;
D O I
10.1016/j.cja.2021.06.004
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In the research of uncertain information processing, Dempster-Shafer Theory (DST) provides a framework for dealing with uncertain information, where evidence is defined on a Frame of Discernment (FOD) consisting of mutually exclusive elements. However, the requirement of exclusiveness on FOD sometimes is not satisfied, as shown in Dezert-Smarandache Theory(DSmT), a derivative of DST. In DSmT, the non-exclusiveness is expressed by propositions' intersection and the fusion of evidence is realized through a Proportional Conflict Redistribution (PCR) rule. In order to handle non-exclusive FODs, a new framework called D Number Theory (DNT) has been proposed recently, which quantifies the non-exclusive degree between propositions different from DSmT. In previous studies, an Exclusive Conflict Redistribution (ECR) rule has been designed in DNT to implement the fusion of evidence defined on a non-exclusive FOD, but there are some deficiencies in the ECR rule. In this paper, a new rule called ECR-PCR rule is proposed by combining the ECR and PCR rules to better implement the fusion of evidence defined on a nonexclusive FOD. Within the proposed rule, the definition of conflict utilizes the idea of ECR's exclusive conflict, and the disposal of conflict is following the idea of PCR's proportional redistribution. Properties of the ECR-PCR rule are presented. The effectiveness of the proposed new rule is verified through numerical examples and applications, in comparison with other fusion methods.(c) 2021 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:179 / 192
页数:14
相关论文
共 64 条
  • [1] [Anonymous], 2006, Advances and Applications of DSmT for Information Fusion (Collected Works)
  • [2] A group incremental feature selection for classification using rough set theory based genetic algorithm
    Das, Asit K.
    Sengupta, Shampa
    Bhattacharyya, Siddhartha
    [J]. APPLIED SOFT COMPUTING, 2018, 65 : 400 - 411
  • [3] UPPER AND LOWER PROBABILITIES INDUCED BY A MULTIVALUED MAPPING
    DEMPSTER, AP
    [J]. ANNALS OF MATHEMATICAL STATISTICS, 1967, 38 (02): : 325 - &
  • [4] On the negation of a Dempster-Shafer belief structure based on maximum uncertainty allocation
    Deng, Xinyang
    Jiang, Wen
    [J]. INFORMATION SCIENCES, 2020, 516 : 346 - 352
  • [5] A total uncertainty measure for D numbers based on belief intervals
    Deng, Xinyang
    Jiang, Wen
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2019, 34 (12) : 3302 - 3316
  • [6] Evaluating Green Supply Chain Management Practices Under Fuzzy Environment: A Novel Method Based on D Number Theory
    Deng, Xinyang
    Jiang, Wen
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2019, 21 (05) : 1389 - 1402
  • [7] D number theory based game-theoretic framework in adversarial decision making under a fuzzy environment
    Deng, Xinyang
    Jiang, Wen
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2019, 106 : 194 - 213
  • [8] Zero-sum polymatrix games with link uncertainty: A Dempster-Shafer theory solution
    Deng, Xinyang
    Jiang, Wen
    Wang, Zhen
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2019, 340 : 101 - 112
  • [9] Deng XY, 2017, 2017 20 INT C INFORM
  • [10] Deng Y, 2012, J INF COMPUT SCI, V9, P2421