基于加权时变多准则和相似度评价法的集群产业创新机制研究

IF 1.2 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Feng Yanhong, Wang Zhongfu
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引用次数: 0

摘要

为了提高繁荣特大城市集群产业创新合作机制的有效性,本文提出了一种基于权重时变多准则的繁荣特大城市集群产业创新合作机制研究方法和相似度评价方法。首先,在“互联网+”背景下,对蓬勃发展的特大城市集群产业创新平台指标体系构建进行了研究,构建了科研创新能力、智能生产与服务支撑能力、信息传播能力、基础设施与环境支撑能力、平台体系构建能力五个一级指标的综合评价体系。其次,提出了权重时变多准则和相似度评价方法来提高产业创新合作机制推荐精度,结合权重时变过程,深入考虑不同时间段的准则权重,提高产业创新合作机制决策的科学性;最后,通过实证分析验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovation mechanism of cluster industry based on weighted time-varying multi-criteria and similarity evaluation method
In order to enhance the effectiveness of the cooperation mechanism of cluster industry innovation of booming megalopolises, this paper puts forward a research method based on weight time-varying multi-criteria and similarity evaluation method for the cooperation mechanism of cluster industry innovation of booming megalopolises. Firstly, under the background of 'internet+', it researches the indicator system establishment of the cluster industry innovation platform of booming megalopolises, establishes the comprehensive evaluation system with five first-level indicators in scientific research innovation capability, intelligent production and service support capability, information transmission capability, infrastructure and environment support capability and platform system establishment capability. Secondly, it puts forward the weight time-varying multi-criteria and similarity evaluation method to enhance the industry innovation cooperation mechanism recommendation precision, combined with the weight time-varying process, deeply considers the criteria weight of different times periods to enhance the decision scientificity of the industry innovation cooperation mechanism; finally, it verifies the effectiveness of algorithm through empirical analysis.
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来源期刊
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.80
自引率
45.50%
发文量
49
期刊介绍: IJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training. Topics covered include: -Computer applications in engineering and technology- Computer control system design- CAD/CAM, CAE, CIM and robotics- Computer applications in knowledge-based and expert systems- Computer applications in information technology and communication- Computer-integrated material processing (CIMP)- Computer-aided learning (CAL)- Computer modelling and simulation- Synthetic approach for engineering- Man-machine interface- Software engineering and management- Management techniques and methods- Human computer interaction- Real-time systems
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