Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28056
Title: A multivariate intelligent decision-making model for retail sales forecasting
Authors: Guo, ZX
Wong, WK 
Li, M
Keywords: Early sales
Multivariate forecasting
Retail industry
Sales forecasting
Issue Date: 2013
Publisher: Elsevier
Source: Decision support systems, 2013, v. 55, no. 1, p. 247-255 How to cite?
Journal: Decision support systems 
Abstract: A sales forecasting problem in the retail industry is addressed based on early sales. An effective multivariate intelligent decision-making (MID) model is developed to provide effective forecasts for this problem by integrating a data preparation and preprocessing module, a harmony search-wrapper-based variable selection (HWVS) module and a multivariate intelligent forecaster (MIF) module. The HWVS module selects out the optimal input variable subset from given candidate inputs as the inputs of MIF. The MIF is established to model the relationship between the selected input variables and the sales volumes of retail products, and then utilized to forecast the sales volumes of retail products. Extensive experiments were conducted to validate the proposed MID model in terms of extensive typical sales datasets from real-world retail industry. Experimental results show that it is statistically significant that the proposed MID model can generate much better forecasts than extreme learning machine-based model and generalized linear model do.
URI: http://hdl.handle.net/10397/28056
ISSN: 0167-9236
EISSN: 1873-5797
DOI: 10.1016/j.dss.2013.01.026
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

19
Last Week
0
Last month
1
Citations as of Oct 19, 2017

WEB OF SCIENCETM
Citations

13
Last Week
0
Last month
1
Citations as of Oct 13, 2017

Page view(s)

46
Last Week
0
Last month
Checked on Oct 15, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.