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FDGM(1,1) model based on unified fractional grey generation operator

Wei Meng (Chongqing Key Laboratory of Electronic Commerce and Supply Chain System, Chongqing Technology and Business University, Chongqing, China) (School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, China)
Qian Li (Chongqing Aerospace Polytechnic College, Chongqing, China)
Bo Zeng (School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, China)
Yingjie Yang (Institute of Artificial Intelligence, De Montfort University, Leicester, UK)

Grey Systems: Theory and Application

ISSN: 2043-9377

Article publication date: 9 December 2020

Issue publication date: 18 June 2021

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Abstract

Purpose

The purpose of this paper is to unify the expression of fractional grey accumulating generation operator and the reducing generation operator, and build the FDGM(1,1) model with the unified fractional grey generation operator.

Design/methodology/approach

By systematically studying the properties of the fractional accumulating operator and the reducing operator, and analyzing the sensitivity of the order value, a unified expression of the fractional operators is given. The FDGM(1,1) model with the unified fractional grey generation operator is established. The relationship between the order value and the modeling error distribution is studied.

Findings

The expression of the fractional accumulating generation operator and the reducing generation operator can be unified to a simple expression. For −1<r < 1, the fractional grey generation operator satisfies the principle of new information priority. The DGM(1,1) model is a special case of the FDGM(1,1) model with r = 1.

Research limitations/implications

The sensitivity of the unified operator is verified through random numerical simulation method, and the theoretical proof was not yet possible.

Practical implications

The FDGM(1,1) model has a higher modeling accuracy and modeling adaptability than the DGM(1,1) by optimizing the order.

Originality/value

The expression of the fractional accumulating generation operator and the reducing generation operator is firstly unified. The FDGM(1,1) model with the unified fractional grey generation operator is firstly established. The unification of the fractional accumulating operator and the reducing operator improved the theoretical basis of grey generation operator.

Keywords

Acknowledgements

The authors would like to thank the anonymous reviewers for their constructive comments, which helped to improve the clarity and completeness of this article.Funding: This research is supported by the National Natural Science Foundation of China (71771033), Key Project of the National Social Science Fund of China (17AGL007), China Postdoctoral Science Foundation (2018M643442), Chongqing Natural Science Foundation (cstc2019jcyj-msxmX0767, cstc2019jcyj-msxmX0003), Chongqing Social Science Planning Project (2018YBJJ028), Humanities and Social Sciences Key Project of Chongqing Education Commission (19SKGH075), Science and Technology Project of Chongqing Education Commission (KJQN201900801), Open Project of Chongqing Technology and Business University (KFJJ2018072, KFJJ2018073), the Royal Society and NSFC International Exchanges project (IEC\NSFC\170391).Conflicts of Interest: The authors declare no conflict of interest.

Citation

Meng, W., Li, Q., Zeng, B. and Yang, Y. (2021), "FDGM(1,1) model based on unified fractional grey generation operator", Grey Systems: Theory and Application, Vol. 11 No. 3, pp. 518-533. https://doi.org/10.1108/GS-07-2020-0093

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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