Using fractional order weakening buffer operator to forecast the main indices of online shopping in China. Issue 1 (4th February 2019)

• Record Type: Journal Article
• Authors: Gao, Xiao Hui; Wu, Lifeng
• Is Part Of: Grey systems. Volume 9:Issue 1(2019)
• Page Start: 128
• Page End: 140
• Publication Date: 2019-02-04
• Subjects: E-commerce -- Grey system theory -- Weakening buffer operator -- Number of online shoppers -- Turnover of online shopping; Cybernetics -- Periodicals; Systems engineering -- Periodicals; 003.5
• DOI: 10.1108/GS-08-2018-0036
• Languages: English
• ISSNs: 2043-9377

Abstract

Abstract : Purpose: The purpose of this paper is to predict the main economic indices of online shopping in China. Design/methodology/approach: A fractional order weakening buffer operator (WBO) for the GM(1, 1) model is put forward in order to solve the problem of limited nonlinear data. The order number of WBO can adjust in line with the scenario. Findings: The experimental results indicate that the proposed method can consider the scenario and obtain more accurate forecasting results. Originality/value: This study found that the slowdown of growth trend after the previous high speed expansion period will continue, and the online shopping sellers should make more efforts to develop potential consumers to increase its turnover.