熵(时间箭头)
最大熵原理
计算机科学
最大熵概率分布
最大熵法
雷诺熵
熵率
统计物理学
Kullback-Leibler散度
算法
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2019-01-01
卷期号:7: 120758-120765
被引量:73
标识
DOI:10.1109/access.2019.2937679
摘要
Deng entropy has been proposed to measure the uncertainty degree of basic probability assignment in evidence theory. In this paper, the condition of the maximum of Deng entropy is discussed. According to the proposed theorem of the maximum Deng entropy, we obtain the analytic solution of the maximum Deng entropy, which yields that the most information volume of Deng entropy is bigger than that of the previous belief entropy functions. Some numerical examples are used to illustrate the basic probability assignment with the maximum Deng entropy.
科研通智能强力驱动
Strongly Powered by AbleSci AI