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Research on Evaluation of Collaborative Innovation Ability of Collaborative Innovation Network of Universities Based on Fuzzy Matter Element

机译:基于模糊物质元素的大学协作创新网络合作创新能力评价研究

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The aim of this study is to evaluate the collaborative innovation ability of collaborative innovation network of universities. We adopt the theory of collaborative innovation network to clarify the connotation of collaborative innovation ability of collaborative innovation network of universities. And then, construct the evaluation index system of collaborative innovation ability from the input and output, subject coordination and environment construction. With the aim to determine the index weight, we introduced the entropy theory. Finally, 12 collaborative innovation centers in Hubei Province are selected as examples, and the entropy weight fuzzy matter element model and Euclid approach degree are combined to evaluate the collaborative ability. The results suggest that the centers of colleges and universities have higher overall collaborative innovation ability than the others. Our findings indicate that the synergistic innovation ability of university collaborative center needs to be promoted from three aspects: input-output, main subject and environment construction, so as to integrate the multi-resources and realize the maximum output from knowledge to technology and from technology to economy.
机译:本研究的目的是评估大学协同创新网络的协作创新能力。我们采用协作创新网络理论,阐明了大学协同创新网络的共同创新能力的内涵。然后,从投入和产出,主题协调和环境建设构建协作创新能力的评价指标体系。旨在确定指数重量,我们介绍了熵理论。最后,湖北省12个协作创新中心被选为示例,并将熵权模糊物质模型和欧几里德接近程度相结合以评估协作能力。结果表明,高校中心与其他人的整体合作创新能力较高。我们的调查结果表明,大学协作中心的协同创新能力需要从三个方面推广:投入输出,主要科目和环境建设,以集成多资源,实现从技术和技术知识的最大产量经济。

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