SIMPLE VIEW OF THE DEMPSTER-SHAFER THEORY OF EVIDENCE AND ITS IMPLICATION FOR THE RULE OF COMBINATION.

被引:0
|
作者
Zadeh, Lotfi A. [1 ]
机构
[1] Univ of California, Berkeley, CA,, USA, Univ of California, Berkeley, CA, USA
关键词
D O I
暂无
中图分类号
学科分类号
摘要
20
引用
收藏
页码:85 / 90
相关论文
共 50 条
  • [31] A clash in Dempster-Shafer theory
    Xiong, W
    Ju, S
    Luo, X
    10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE, 2001, : 793 - 796
  • [32] Sentiment Prediction Based on Dempster-Shafer Theory of Evidence
    Basiri, Mohammad Ehsan
    Naghsh-Nilchi, Ahmad Reza
    Ghasem-Aghaee, Nasser
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [33] On modal logic interpretation of Dempster-Shafer theory of evidence
    Harmanec, David
    Klir, George J.
    Watson, Thomas J.
    Resconi, Germano
    International Journal of Intelligent Systems, 1994, 9 (10): : 941 - 951
  • [34] Relevance of the Dempster-Shafer Evidence Theory for Image Segmentation
    Ben Chaabane, Salim
    Sayadi, Mounir
    Fnaiech, Farhat
    Brassart, Eric
    2009 3RD INTERNATIONAL CONFERENCE ON SIGNALS, CIRCUITS AND SYSTEMS (SCS 2009), 2009, : 312 - +
  • [35] Using the Dempster-Shafer Theory of Evidence to Rank Documents
    Jiuling Zhang**
    Tsinghua Science and Technology, 2012, 17 (03) : 241 - 247
  • [36] Fundamentals of the Dempster-Shafer Theory
    Peri, Joseph S. J.
    SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION XXI, 2012, 8392
  • [37] Categorification of the Dempster-Shafer Theory
    Peri, Joseph S. J.
    SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXIV, 2015, 9474
  • [39] Using the Dempster-Shafer theory of evidence to rank documents
    Zhang, Jiuling
    Deng, Beixing
    Li, Xing
    Tsinghua Science and Technology, 2012, 17 (03) : 241 - 247
  • [40] Application of Dempster-Shafer theory of evidence to the correlation problem
    Morelli, M
    DeSimone, AJ
    PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOL II, 2002, : 759 - 762