Huang, K.Y. and Jane, C.-J. (2009) A Hybrid Model for Stock Market Forecasting and Portfolio Selection Based on ARX, Grey System and RS Theories. Expert Systems with Applications, 36, 5387-5392.
https://doi.org/10.1016/j.eswa.2008.06.103

has been cited by the following article:

• TITLE: A Survey of Selected Grey Forecasting Models with Application to Medical Tourism Forecasting

  AUTHORS: Althea Dianne La Foucade, Samuel Gabriel, Ewan Scott, Karl Theodore, Charmaine Metivier

  KEYWORDS: Medical Tourism, Medical Tourism Demand, Grey Forecasting and Parameter Optimization

  JOURNAL NAME: Theoretical Economics Letters, Vol.9 No.4, April 26, 2019

  ABSTRACT: This paper examines the predictive capacity of two Grey Systems Forecasting models. The original Grey GM(1,1) Forecasting model, introduced by Deng [1] [2] together with an improved Grey GM(1,1) model proposed by Ji et al. [3] are used to forecast medical tourism demand for Bermuda. The paper also introduces a quasi-optimization method for the optimization of the alpha (weight) parameter. Five steps ahead out-of-sample forecasts are produced after estimating the models using four data points. The results indicate that the optimization of the alpha parameter substantially improves the predictive accuracy of the models; reducing the five steps ahead out-of-sample Mean Absolute Percentage Error from roughly 7% to roughly 3.80% across the two models. Largely, the forecasting approaches demonstrate significant potential for use as an alternative to the traditional forecasting methods in circumstances where substantial amounts of high-quality data are not available.