Research Article | OPEN ACCESS
Fuzzy Clustering Based 41 Universities Innovation Capability Evaluation of Jiangsu Province
1, 3Hou Jun, 2Ding Lingling, 2Li Qianmu, 1Liu Kui and 2, 3Qi Yong
1Department of Humanities and Social Sciences
2Department of Computer Science, Nanjing University of Science and Technology,
Nanjing 210094, China
3Changshu/Lianyungang/Wuxi Research Institute, Nanjing University of Science and Technology, Changshu 215513, China
Research Journal of Applied Sciences, Engineering and Technology 2013 20:4895-4899
Received: September 27, 2012 | Accepted: December 13, 2012 | Published: May 15, 2013
Abstract
Innovation capability evaluation plays a vital role on promoting and ensuring the persistent and in-depth work of scientific research activities in university. Some scholars have proposed a variety of qualitative innovation capability evaluation methods, however, how to separate from subjective judgments and how to describe the vagueness of capability information are still the most important problems. This study proposed fuzzy clustering method and Based on this method 41 universities innovation capability evaluation of Jiangsu province is processed. This study provided a novel means to solving practical innovation capability evaluation problems.
Keywords:
Fuzzy clustering, innovation capability, performance evaluation,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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