An exponential negation of complex basic belief assignment in complex evidence theory

被引:14
|
作者
Yang, Chengxi [1 ]
Xiao, Fuyuan [1 ]
机构
[1] Chongqing Univ, Sch Big Data & Software Engn, Chongqing 401331, Peoples R China
基金
中国国家自然科学基金;
关键词
Complex evidence theory; Complex basic belief assignment; Negation; Entropy; Invariance; Convergence; PERSPECTIVE; INFORMATION; RULE;
D O I
10.1016/j.ins.2022.11.160
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Negation is an important operation in evidence theory, whose idea is to consider the oppo-site of events, can deal with some problems with uncertainties from the opposite side and obtain information behind probability distribution. In classical D-S theory (Dempster-Shafer's theory), there are already many negation methods existed on real number field and many properties of which have been discovered. However, in complex evidence theory, which based on complex number field, negation is still an open problem. In order to deal with some problems like those in D-S theory, a new negation method for CBBA (Complex Basic Belief Assignment) should be proposed. In this paper, a new negation method called CBBA exponential negation will be presented, which can be seen as a generalization from BBA (Basic Belief Assignment) to CBBA. This proposed negation transforms a CBBA to another one with the entropy increased simultaneously. Also, some properties of this nega-tion will be discussed such as invariance, convergence, fixed point, distribution of Pascal triangle, convergence speed, impact on negation convergence and so on. Besides, most among them will be strictly proved in this paper. Furthermore, a new entropy for CBBA and some numerical examples will be presented, and we will study the proposed negation from the view of entropy. Finally, an application of CBBA exponential negation will be shown in the end.(c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页码:1228 / 1251
页数:24
相关论文
共 50 条
  • [31] Complex Network Modeling of Evidence Theory
    Zhao, Jie
    Deng, Yong
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (11) : 3470 - 3480
  • [32] On some bridges to complex evidence theory
    Huang, Junjie
    Fan, Yi
    Xiao, Fuyuan
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 117
  • [33] A new approach for generation of generalized basic probability assignment in the evidence theory
    Yongchuan Tang
    Dongdong Wu
    Zijing Liu
    Pattern Analysis and Applications, 2021, 24 : 1007 - 1023
  • [34] A new approach for generation of generalized basic probability assignment in the evidence theory
    Tang, Yongchuan
    Wu, Dongdong
    Liu, Zijing
    PATTERN ANALYSIS AND APPLICATIONS, 2021, 24 (03) : 1007 - 1023
  • [35] Verbal complex formation and negation in Japanese
    Kishimoto, Hideki
    LINGUA, 2013, 135 : 132 - 154
  • [36] Example of continuous basic belief assignment in the DSmT paradigm
    Dambreville, F
    2005 7th International Conference on Information Fusion (FUSION), Vols 1 and 2, 2005, : 915 - 921
  • [37] Constructing Basic Belief Assignment From Feature Data
    Yang Wei
    Fu Yaowen
    2013 CHINESE AUTOMATION CONGRESS (CAC), 2013, : 605 - 610
  • [38] MEMORY FOR NEGATION IN COORDINATE AND COMPLEX SENTENCES
    HARRIS, RJ
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN LEARNING AND MEMORY, 1976, 2 (03): : 308 - 314
  • [39] Logarithmic Negation of Basic Probability Assignment and Its Application in Target Recognition
    Xu, Shijun
    Hou, Yi
    Deng, Xinpu
    Chen, Peibo
    Zhou, Shilin
    INFORMATION, 2022, 13 (08)
  • [40] Determination of Basic Belief Assignment Using Fuzzy Numbers
    Zhang, Zhe
    Han, Deqiang
    Dezert, Jean
    Yang, Yi
    2017 20TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2017, : 985 - 990