A Normalization Method of Interval-valued Belief Structures

被引:0
|
作者
Xu, Xiaobin [1 ]
Feng, Haishan [1 ]
Wen, Chenglin [1 ]
机构
[1] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Zhejiang, Peoples R China
基金
美国国家科学基金会;
关键词
Dempster-Shafer theory of evidence; Interval-valued belief structures; Interval basic probability assignment; Pignistic transformation; Similarity measure;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Within the framework of Dempster-Shafer (D-S) theory of evidence, interval-valued belief structures (interval basic probability assignments, IBPAs for short), which can be used for combination, must be valid and normalized. In this paper, such IBPA is referred to as "standard IBPA". Because of the uncertainties of information collected by sensors and knowledge provided by experts, generally, the obtained original IBPAs are merely valid, but most of them are not normalized. The existing normalization approaches shorten width of probability mass interval so that the generated standard IBPA meets the requirements of interval evidence combination rule. However, the shortening process often leads to the loss of available information contained in original IBPA, so combination results may be irrational or suboptimal. This paper presents a new approach to realize global normalization and defines a similarity measure between original IBPA and its standard IBPA to measure information loss. Compared with the standard IBPA given by the existing classical approach, the standard IBPA obtained by the proposed approach is more similar to the corresponding original IBPA, so has more information for combination. Numerical examples are provided to prove the effectiveness of the proposed method.
引用
收藏
页码:239 / 248
页数:10
相关论文
共 50 条
  • [1] On the combination and normalization of interval-valued belief structures
    Wang, Ying-Ming
    Yang, Jian-Bo
    Xu, Dong-Ling
    Chin, Kwai-Sang
    INFORMATION SCIENCES, 2007, 177 (05) : 1230 - 1247
  • [2] On the combination and normalization of conflicting interval-valued belief structures
    Zhang, Xing-Xian
    Wang, Ying-Ming
    Chen, Sheng-Qun
    Chen, Lei
    COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 137
  • [3] A Distance Measure of Interval-valued Belief Structures
    Cao, Junqin
    Zhang, Xueying
    Feng, Jiapeng
    SAINS MALAYSIANA, 2019, 48 (12): : 2787 - 2796
  • [4] Uncertainty measure for interval-valued belief structures
    Song, Yafei
    Wang, Xiaodan
    Lei, Lei
    Yue, Shaohua
    MEASUREMENT, 2016, 80 : 241 - 250
  • [5] Interval-valued belief entropies for Dempster–Shafer structures
    Yige Xue
    Yong Deng
    Soft Computing, 2021, 25 : 8063 - 8071
  • [6] Parameter estimation based on interval-valued belief structures
    Deng, Xinyang
    Hu, Yong
    Chan, Felix T. S.
    Mahadevan, Sankaran
    Deng, Yong
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2015, 241 (02) : 579 - 582
  • [7] Conflicting evidence combination of interval-valued belief structures
    Wang, Y.-M. (msymwang@hotmail.com), 1600, Systems Engineering Society of China (34):
  • [8] Combination for Conflicting Interval-Valued Belief Structures with CSUI-DST Method
    Li Shuangming
    Guan Xin
    Yi Xiao
    Sun Guidong
    CHINESE JOURNAL OF ELECTRONICS, 2022, 31 (05) : 980 - 990
  • [9] Combination for Conflicting Interval-Valued Belief Structures with CSUI-DST Method
    LI Shuangming
    GUAN Xin
    YI Xiao
    SUN Guidong
    ChineseJournalofElectronics, 2022, 31 (05) : 980 - 990
  • [10] Evidential reasoning rule for interval-valued belief structures combination
    Zhang, Xing-Xian
    Wang, Ying-Ming
    Chen, Sheng-Qun
    Chu, Jun-Feng
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 37 (02) : 2231 - 2242