A new grey comprehensive relational model based on weighted mean distance and induced intensity and its application

Abstract

Purpose

The purpose of this paper is to study the essential characteristics of grey relational degree of proximity, to analyse the abstract meaning of grey relational degree of similarity and fully consider the two different relational degree models.

Design/methodology/approach

The paper constructed the grey proximity relational degree by using the weighted mean distance. To analyse the motivation of the development of things, this paper constructed the grey similarity degree by using the concept of induced strength. Finally, the two correlation models are weighted by reliability weighting.

Findings

The research finding shows that the distance is the essence of the grey relational degree of proximity, and the induced strength is a good explanation of the similarities in the development of things.

Practical implications

The analyses imply that the total amount of water consumption in China has the greatest correlation with the consumption of agricultural water resources, followed by the consumption of industrial water resources, and the least correlation with the consumption of domestic water resources.

Originality/value

The paper succeeds in realizing the essential characteristics of grey relational degree of proximity and the abstract meaning of grey relational degree of similarity. Besides, the resolution of the correlation degree can be greatly improved by reliability weighting.

Citation

Yin, K., Xu, J. and Li, X. (2019), "A new grey comprehensive relational model based on weighted mean distance and induced intensity and its application", Grey Systems: Theory and Application, Vol. 9 No. 3, pp. 374-384. https://doi.org/10.1108/GS-09-2018-0037