当前位置: X-MOL 学术Sci. Program. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fuzzy Principal Component Analysis Model on Evaluating Innovation Service Capability
Scientific Programming Pub Date : 2020-09-30 , DOI: 10.1155/2020/8834901
Hui Wu 1 , Xiao-min Gu 1
Affiliation  

This article mainly evaluates the regional innovation service capacity through the TOPSIS method. Firstly, a regional collaborative innovation network is constructed and the Yangtze River Delta region is selected for analysis. Secondly, an evaluation index is constructed for innovation service capability, fuzzy principal component analysis is used to refine quantitative and qualitative index data of innovation service capability, and the index weight is calculated. Then the region of the Yangtze River Delta is selected and TOPSIS method is used to assist in the effective decision-making process of the evaluation of innovative service capabilities. Due to the large amount of data in this article, MATLAB programming is used. Finally, through the comparative analysis of the results, countermeasures and suggestions are put forward from the perspective of the improvement of collaborative innovation service capabilities.

中文翻译:

创新服务能力评价的模糊主成分分析模型

本文主要通过TOPSIS法对区域创新服务能力进行评价。首先构建区域协同创新网络,选取长三角区域进行分析。其次,构建创新服务能力评价指标,利用模糊主成分分析法提炼创新服务能力定量和定性指标数据,计算指标权重。然后选取长三角区域,运用TOPSIS方法辅助创新服务能力评价的有效决策过程。由于本文数据量大,采用MATLAB编程。最后,通过对结果的对比分析,
更新日期:2020-09-30
down
wechat
bug