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On modeling mechanisms and applicable ranges of grey incidence analysis models

Wenjie Dong (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Sifeng Liu (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Zhigeng Fang (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)

Grey Systems: Theory and Application

ISSN: 2043-9377

Article publication date: 20 August 2018

Issue publication date: 24 September 2018

159

Abstract

Purpose

The purpose of this paper is to study the modelling mechanisms of several grey incidence analysis models with great influence, including Deng’s grey incidence model, absolute degree of grey incidence model, slope degree of incidence model, similitude degree of incidence model and closeness degree of incidence model; then analyse the problems to be solved in grey incidence analysis models; and clarify the applicable ranges of commonly used grey incidence models.

Design/methodology/approach

The paper comes to conclusions by means of comparable analysis. The authors compare several commonly used grey incidence analysis models, including Deng’s grey incidence model, absolute degree of grey incidence model, slope degree of incidence model, similitude degree of incidence model and closeness degree of incidence model and give several examples to clarify the reasons why quantitative analysis results of different models are not exactly the same.

Findings

As the intension of each kind of incidence model is clear and the extension is relatively obscure, grey incidence orders calculated by different incidence models are often different. When making actual decisions, incompatible results may appear. According to different characteristics of extraction, grey incidence analysis models can be divided into three types: incidence model based on closeness perspective, incidence model based on similarity perspective and incidence model based on comprehensive perspective.

Practical implications

The conclusions obtained in this paper can help people avoid some defects in the process of actual selection and choose the better incidence analysis model.

Originality/value

The conclusions can be used as a reference and basis for the selection of grey incidence analysis models, it can help to overcome the defects and shortcomings of models caused by themselves and screen out more excellent analytical models.

Keywords

Acknowledgements

The authors would like to thank the reviewers for their valuable suggestions for improving this paper. In addition, this paper is supported by the National Natural Science Foundation of China (Grant No. 71671091) and China Postdoctoral Science Foundation (Grant No. 2018M630561).

Citation

Dong, W., Liu, S. and Fang, Z. (2018), "On modeling mechanisms and applicable ranges of grey incidence analysis models", Grey Systems: Theory and Application, Vol. 8 No. 4, pp. 448-461. https://doi.org/10.1108/GS-04-2018-0019

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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