Fractal Analysis Approaches to Granular Computing

被引:3
|
作者
Yao, JingTao [1 ]
Oladimeji, Oladunni A. [1 ]
Zhang, Yan [1 ]
机构
[1] Univ Regina, Dept Comp Sci, Regina, SK S4S 0A2, Canada
来源
ROUGH SETS | 2017年 / 10313卷
基金
加拿大自然科学与工程研究理事会;
关键词
Granular computing; Fractal analysis; Fractals; Fractal dimension; Information granulation; INFINITE INFORMATION-SYSTEMS; EXACT SETS; DIMENSION;
D O I
10.1007/978-3-319-60837-2_18
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Granular computing has emerged as one of the fastest growing information processing paradigms in computational intelligence and human-centric systems. Fractal analysis has equally gained ground in understanding complex phenomena. This article examines and analyzes fractal analysis and its close relationship with granular computing. We argue that fractal analysis can be viewed as special granular computing approaches especially from methodology and mechanism point of views. In this article, we also bring out the granular structure existing in a fractal analysis application. The aim of this research is to demonstrate fractal analysis as a granular computing approach based on these findings.
引用
收藏
页码:215 / 222
页数:8
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