The following publications are possibly variants of this publication:
- TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation GroupsShyi-Ming Chen, Chao-Dian Chen. tfs, 19(1):1-12, 2011. [doi]
- Fuzzy time-series based on adaptive expectation model for TAIEX forecastingChing-Hsue Cheng, Tai-Liang Chen, Hia Jong Teoh, Chen-Han Chiang. eswa, 34(2):1126-1132, 2008. [doi]
- Frequency-Weighted Fuzzy Time-Series Based on Fibonacci Sequence for TAIEX ForecastingHia Jong Teoh, Tai-Liang Chen, Ching-Hsue Cheng. pakdd 2007: 27-34 [doi]
- A New Method for Forecasting the TAIEX Based on High-Order Fuzzy Logical RelationshipsShyi-Ming Chen, Chao-Dian Chen. SMC 2009: 3456-3460 [doi]
- TAIEX Forecasting Based on Fuzzy Time Series and the Automatically Generated Weights of Defuzzified Forecasted Fuzzy Variations of Multiple-FactorsShyi-Ming Chen, Huai-Ping Chu. iccci 2010: 441-450 [doi]
- Trend-Weighted Fuzzy Time-Series Model for TAIEX ForecastingChing-Hsue Cheng, Tai-Liang Chen, Chen-Han Chiang. iconip 2006: 469-477 [doi]
- Multiple-Period Modified Fuzzy Time-Series for Forecasting TAIEXChing-Hsue Cheng, Tai-Liang Chen, Hia Jong Teoh. fskd 2007: 2-6 [doi]
- TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machinesShyi-Ming Chen, Pei-Yuan Kao. isci, 247:62-71, 2013. [doi]