分形维数
网络的分形维数
Minkowski–Boul尺寸
多重分形系统
分形
关联维数
数学
分形导数
维数(图论)
分形分析
维度函数
分形景观
有效尺寸
概率质量函数
一般化
熵(时间箭头)
豪斯多夫维数
统计物理学
概率分布
数学分析
组合数学
统计
物理
量子力学
作者
Chenhui Qiang,Yong Deng,Kang Hao Cheong
出处
期刊:Fractals
[World Scientific]
日期:2022-05-04
卷期号:30 (06)
被引量:82
标识
DOI:10.1142/s0218348x22501109
摘要
Fractal plays an important role in nonlinear science. The most important parameter to model fractal is fractal dimension. Existing information dimension can calculate the dimension of probability distribution. However, given a mass function which is the generalization of probability distribution, how to determine its fractal dimension is still an open problem of immense interest. The main contribution of this work is to propose an information fractal dimension of mass function. Numerical examples are illustrated to show the effectiveness of our proposed dimension. We discover an important property in that the dimension of mass function with the maximum Deng entropy is $\frac{ln3}{ln2}\approx 1.585$, which is the well-known fractal dimension of Sierpi\'nski triangle.
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