Support function and objecting function, a new viewpoint to the Dempster-Shafer theory of evidence

被引:0
|
作者
Zeng, C [1 ]
Zhao, BJ [1 ]
He, PK [1 ]
机构
[1] Beijing Inst Technol, Dept Elect Engn, Sch Informat Sci & Technol, Beijing 100081, Peoples R China
关键词
Dempster-Shafer theory; Dempster's rule; frame; support function; injecting function;
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
A new evidence model based on support function and objecting function is introduced by generalizing Dempster-Shafer theory into all open frame of discernment. Through a thorough exploration of the properties of the support function and objecting function, it is shown that this model provides a more direct and natural way for the representation of evidence and the understanding of the Dempster's rule of combination than the belief function model. The possibility to generalize this model to the closed frame is also discussed.
引用
收藏
页码:1475 / 1478
页数:4
相关论文
共 50 条
  • [1] A new correlation belief function in Dempster-Shafer evidence theory and its application in classification
    Tang, Yongchuan
    Zhang, Xu
    Zhou, Ying
    Huang, Yubo
    Zhou, Deyun
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [2] A new correlation belief function in Dempster-Shafer evidence theory and its application in classification
    Yongchuan Tang
    Xu Zhang
    Ying Zhou
    Yubo Huang
    Deyun Zhou
    Scientific Reports, 13
  • [3] Generalization of Dempster-Shafer theory: A complex mass function
    Xiao, Fuyuan
    APPLIED INTELLIGENCE, 2020, 50 (10) : 3266 - 3275
  • [4] Ensemble support vector machines based on Dempster-Shafer evidence theory
    Zhu, Rusheng, 1600, ICIC Express Letters Office (08):
  • [5] Study on algorithms of determining basic probability assignment function in Dempster-Shafer evidence theory
    Guan, Xin
    Yi, Xiao
    He, You
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 121 - 126
  • [6] Association rules and Dempster-Shafer theory of evidence
    Murai, T
    Kudo, Y
    Sato, Y
    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
    BEYOND EXPERIENCE IN RISK ANALYSIS AND CRISIS RESPONSE, 2011, 16 : 306 - 310
  • [8] An Improved Algorithm for Dempster-Shafer Theory of Evidence
    Ye, Qing
    Wu, Xiaoping
    Zhai, Dingjun
    2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2, 2008, : 13 - 18
  • [9] Local computations in Dempster-Shafer theory of evidence
    Jirousek, Radim
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2012, 53 (08) : 1155 - 1167
  • [10] Indistinguishability relations in Dempster-Shafer theory of evidence
    Hernández, E
    Recasens, J
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2004, 37 (03) : 145 - 187