To read this content please select one of the options below:

Analysis on the related factors of China's technological innovation ability using greyness relational degree

Li Li (School of Economics and Management, Shandong Agricultural University, Taian, China)
Xican Li (School of Information Science and Engineering, Shandong Agricultural University, Taian, China)

Grey Systems: Theory and Application

ISSN: 2043-9377

Article publication date: 24 December 2021

Issue publication date: 26 May 2022

155

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

Related articles