Research on Evaluation of Regional Innovation Ability Based on Gray Related Degree Model

Author

Wang, Guo-Zhen ; Liu, Xiu-jun ; Tian, Yong-Ying

Author_Institution

Coll. of Econ. & Manage., Hebei Univ. of Sci. & Technol.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

1696

Lastpage

1701

Abstract

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

Keywords

fuzzy set theory; regional planning; evaluation information possess; fuzzy set; gray related degree model; index system; regional innovation ability; Cities and towns; Conference management; Cybernetics; Educational institutions; Electronic mail; Environmental economics; Fuzzy sets; Fuzzy systems; Innovation management; Machine learning; Mathematical model; Mathematics; Technological innovation; Technology management; Uncertainty; Gray related degree model; analytic hierarch process; fuzzy mathematics; index system; regional innovation ability;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258909

Filename

4028338