Analysis on the related factors of China's technological innovation ability using greyness relational degree
Grey Systems: Theory and Application
ISSN: 2043-9377
Article publication date: 24 December 2021
Issue publication date: 26 May 2022
Abstract
Purpose
In order to make grey relational analysis applicable to the interval grey number, this paper discusses the model of grey relational degree of the interval grey number and uses it to analyze the related factors of China's technological innovation ability.
Design/methodology/approach
First, this paper gives the definitions of the lower bound domain, the value domain, the upper bound domain of interval grey number and the generalized measure and the generalized greyness of interval grey number. Then, based on the grey relational theory, this paper proposes the model of greyness relational degree of the interval grey number and analyzes its relationship with the classical grey relational degree. Finally, the model of greyness relational degree is applied to analyze the related factors of China's technological innovation ability.
Findings
The results show that the model of greyness relational degree has strict theoretical basis, convenient calculation and easy programming and can be applied to the grey number sequence, real number sequence and grey number and real number coexisting sequence. The relational order of the four related factors of China's technological innovation ability is research and development (R&D) expenditure, R&D personnel, university student number and public library number, and it is in line with the reality.
Practical implications
The results show that the sequence values of greyness relational degree have large discreteness, and it is feasible and effective to analyze the related factors of China's technological innovation ability.
Originality/value
The paper succeeds in realizing both the model of greyness relational degree of interval grey number with unvalued information distribution and the order of related factors of China's technological innovation ability.
Keywords
Acknowledgements
Funding: The work is supported in part by Natural Science Foundation of Shandong Province Grant No. ZR2016DM03 and National Natural Science Foundation of China Grant No. 41271235.
Citation
Li, L. and Li, X. (2022), "Analysis on the related factors of China's technological innovation ability using greyness relational degree", Grey Systems: Theory and Application, Vol. 12 No. 3, pp. 651-671. https://doi.org/10.1108/GS-06-2021-0089
Publisher
:Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited