Research on evaluation of regional innovation ability based on gray related degree model

被引：0
|
作者：
Wang, Guo-Zhen [1 ]
Liu, Xiu-Jun [2 ]
Tian, Yong-Ying [1 ]
机构：
[1] Hebei Univ Sci & Technol, Coll Econ & Management, Shijiazhuang 050018, Hebei, Peoples R China
[2] Hebei Univ Sci & Technol, Coll Sci, Shijiazhuang 050018, Hebei, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
关键词：
gray related degree model; regional innovation ability; index system; fuzzy mathematics; analytic hierarch process;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In view of the diversity of factors affecting regional innovation ability, this article firstly establishes a set of index system reflecting regional innovation ability; then sets up gray related degree model in accordance with the fact that evaluation information possesses both fuzzy and gray characteristics; lastly the model is used to evaluate the regional innovation ability of the 11 cities of Hebei province. The result shows that the gray related degree model adopted can overcome the incompleteness and uncertainty of information to a better degree, revealing the inter-relationship between indexes, thus providing a practical and effective approach to evaluating regional innovation ability.
引用
收藏
页码：1696 / +
页数：2
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