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Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships

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References

1965Fuzzy sets67,827 cited
1996Fuzzy sets46,880 cited
1993Forecasting enrollments with fuzzy time series — Part I1,255 cited
1996Forecasting enrollments based on fuzzy time series1,186 cited
1994Forecasting enrollments with fuzzy time series — part II789 cited
2002FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES518 cited
2004Weighted fuzzy time series models for TAIEX forecasting463 cited
2000Temperature prediction using fuzzy time series400 cited
1998Handling forecasting problems using fuzzy time series368 cited
2005The application of neural networks to forecast fuzzy time series308 cited
1994A comparison of fuzzy forecasting and Markov modeling269 cited
2006Forecasting enrollments using high-order fuzzy time series and genetic algorithms252 cited
2006Handling forecasting problems based on two-factors high-order fuzzy time series246 cited
2008An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization232 cited
2007A bivariate fuzzy time series model to forecast the TAIEX220 cited
2009

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A neural network-based fuzzy time series model to improve forecasting

211 cited

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