Forecasting shanghai composite index based on fuzzy time series and improved C-fuzzy decision trees

This publication has 36 references indexed in Scilit:

• Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations
  Expert Systems with Applications, 2009
• A type-2 fuzzy rule-based expert system model for stock price analysis
  Expert Systems with Applications, 2009
• Multi-attribute fuzzy time series method based on fuzzy clustering
  Expert Systems with Applications, 2008
• Forecasting enrollments using high-order fuzzy time series and genetic algorithms
  International Journal of Intelligent Systems, 2006
• Trend-Weighted Fuzzy Time-Series Model for TAIEX Forecasting
  2006
• A dynamic approach to adjusting lengths of intervals in fuzzy time series forecasting
  Intelligent Data Analysis: An International Journal, 2004
• FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES
  Cybernetics and Systems, 2002
• Effective lengths of intervals to improve forecasting in fuzzy time series
  Fuzzy Sets and Systems, 2001
• Temperature prediction using fuzzy time series
  IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2000
• Forecasting enrollments based on fuzzy time series
  Fuzzy Sets and Systems, 1996