Fractional order grey relational analysis and its application

被引：0
|
作者：
Wu, L. F. [1 ]
Liu, S. F. [1 ]
Yao, L. G. [2 ]
Yu, L. [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210016, Jiangsu, Peoples R China
[2] Hebei Univ Engn, Sch Econ & Management, Handan 056038, Peoples R China
来源：
SCIENTIA IRANICA | 2015年 / 22卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Grey relational analysis; Fractional order; R&D; GDP; High technology output value; LONG-MEMORY; SYSTEM; MODEL;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The main idea behind this study is to introduce the fractional order grey relational degree to analyze the relationship between sci-tech input and the economic growth of China. Based on a fractional order difference operator, fractional order grey relational analysis (FGRA) is defined. The effect of different orders on grey relational analysis is discussed. Two examples show the process and efficiency of its application. (C) 2015 Sharif University of Technology. All rights reserved.
引用
收藏
页码：1171 / 1178
页数：8
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