An evaluation study on innovation capability of Shijiazhuang's high-tech industry based on rough set theory

Author(s):  
Chenxi Zhao
2011 ◽  
Vol 480-481 ◽  
pp. 821-826 ◽  
Author(s):  
Jian Wen ◽  
Li Juan Lei ◽  
Zhi Qiang Tian

It is important to evaluate the independent innovation capacity of high-tech industry scientifically, which could accelerate high-tech industry to become the main body of regional economy. In this paper the evaluation indicators of the independent innovation capacity of high-tech industry are reduced with the distinction matrix algorithm of the attribute reduction based on rough set theory. And then, projection pursuit model method based on genetic algorithms is used to get the synthetic evaluation. High-tech industry of Henan province as a specific example is given according to the evaluation index system with 4 primary indicators and 12 secondary indicators for independent innovation capability. It is proved that the evaluation method is feasible and effective.


Technovation ◽  
2010 ◽  
Vol 30 (7-8) ◽  
pp. 447-458 ◽  
Author(s):  
Chun-Hsien Wang ◽  
Yang-Chieh Chin ◽  
Gwo-Hshiung Tzeng

2020 ◽  
Vol 3 (2) ◽  
pp. 1-21 ◽  
Author(s):  
Haresh Sharma ◽  
◽  
Kriti Kumari ◽  
Samarjit Kar ◽  
◽  
...  

2009 ◽  
Vol 11 (2) ◽  
pp. 139-144
Author(s):  
Feng CAO ◽  
Yunyan DU ◽  
Yong GE ◽  
Deyu LI ◽  
Wei WEN

Author(s):  
S. Arjun Raj ◽  
M. Vigneshwaran

In this article we use the rough set theory to generate the set of decision concepts in order to solve a medical problem.Based on officially published data by International Diabetes Federation (IDF), rough sets have been used to diagnose Diabetes.The lower and upper approximations of decision concepts and their boundary regions have been formulated here.


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