Forecasting Models on Fuzzy Time Series Within Stock Market
Sanping Li, Chengxian Xu, Honggang Xue · 2009
This article firstly presents an analysis and survey regarding the traditional evaluation and forecasting model on fuzzy time series. lt is pointed out that the maximum Subordination degree method and Subordination degree-Weighted average method is not suitable to attribute space usually, and a new evaluation model is proposed. The empirical study show that the new evaluation model is better able to evaluate and forecast the fuzzy time series within stock market.