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Fuzzy Principal Component Analysis Model on Evaluating Innovation Service Capability
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wu, Hui& Gu, Xiaomin. 2020. Fuzzy Principal Component Analysis Model on Evaluating Innovation Service Capability. Scientific Programming،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1209168
Modern Language Association (MLA)
Wu, Hui& Gu, Xiaomin. Fuzzy Principal Component Analysis Model on Evaluating Innovation Service Capability. Scientific Programming No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1209168
American Medical Association (AMA)
Wu, Hui& Gu, Xiaomin. Fuzzy Principal Component Analysis Model on Evaluating Innovation Service Capability. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1209168
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209168