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.
Highlights
With the increasing of scientific research input, the utilization of scientific research funding and related resources draws more and more widespread attention of the society
Many scholars have proposed a variety of qualitative methods on innovation capability assessment such as AHP, PCA and Weighting Statistics, but these above methods can’t completely separate from subjective judgments
Traditional qualitative methods are very difficult to process these compressed data, so a fuzzy clustering method is proposed in this study
Summary
With the increasing of scientific research input, the utilization of scientific research funding and related resources draws more and more widespread attention of the society. THE INNOVATION CAPABILITY EVALUATION METHOD BASED ON FUZZY CLUSTERING
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