An interval method to measure the uncertainty of basic probability assignment

被引：0
|
作者：
Jinyan Su
Yong Deng
机构：
[1] University of Electronic Science and Technology of China,School of Mathematical Sciences
[2] University of Electronic Science and Technology of China,Institute of Fundamental and Frontier Science
[3] Shannxi Normal University,School of Education
来源：
Soft Computing | 2022年 / 26卷
关键词：
Basic probability assignment; Uncertainty measure; Interval probability; Tsallis entropy; Deng entropy;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Comparing the probability distribution, basic probability assignment in evidence theory is more efficient to deal with uncertain information. However, the uncertainty measure of basic probability assignment is still an open issue. In this paper, a new uncertainty measure based on Tsallis entropy is proposed to solve problems when the basic probability assignments are not given or being transformed into interval probability distribution. The proposed entropy is an extension of Tsallis entropy in continuous space. Some numerical examples are illustrated to show the efficiency of the proposed method.
引用
收藏
页码：6041 / 6050
页数：9
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