Fuzzy Principal Component Analysis Model on Evaluating Innovation Service Capability

Joint Authors

Gu, Xiaomin
Wu, Hui

Source

Scientific Programming

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

Mathematics

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