Conflict Management of Evidence Theory Based on Belief Entropy and Negation

被引:18
|
作者
Li, Shanshan [1 ]
Xiao, Fuyuan [1 ]
Abawajy, Jemal H. [2 ]
机构
[1] Southwest Univ, Sch Comp & Informat Sci, Chongqing 400715, Peoples R China
[2] Deakin Univ, Sch Informat Technol, Burwood, Vic 3220, Australia
来源
IEEE ACCESS | 2020年 / 8卷
关键词
Entropy; Uncertainty; Reliability; Measurement uncertainty; Probability distribution; Education; Target recognition; Dempster-Shafer evidence theory; conflict management; discount coefficient; Deng entropy; negation; target recognition; INTUITIONISTIC FUZZY-SETS; DECISION-MAKING; FAILURE MODE; DIVERGENCE MEASURE; REASONING APPROACH; COMBINATION; RULE; UNCERTAINTY; FUZZINESS; FRAMEWORK;
D O I
10.1109/ACCESS.2020.2975802
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Discount coefficient is an efficient method to address conflicting evidence combination in Dempster-Shafer evidence theory. However, how to determine the discount coefficient of each evidence is an open issue. In this paper, considering both the influence of the amount of information contained in the evidence itself and the fuzziness of the evidence based on the negation of basic belief assignment, a new discount coefficient is presented. The proposed discount coefficient is a fractional form. The numerator is Deng entropy, and the denominator is entropy difference between initial body of evidence (BOE) and its negation. The more information contained in the evidence, the more value is obtained. And the lower fuzziness of evidence, the less value is obtained. A numerical example is given to illustrate the application of this proposed method in the combination of highly conflicting evidence.
引用
收藏
页码:37766 / 37774
页数:9
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