A Type 2 fuzzy time series model for stock index forecasting
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[1] Lotfi A. Zadeh,et al. The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .
[2] RONALD R. YAGER,et al. Fuzzy Subsets of Type Ii in Decisions , 1980, Cybern. Syst..
[3] H. Tanka. Fuzzy data analysis by possibilistic linear models , 1987 .
[4] M. Wagenknecht,et al. Application of fuzzy sets of type 2 to the solution of fuzzy equation systems , 1988 .
[5] Hisao Ishibuchi,et al. Fuzzy Regression Analysis , 1992 .
[6] B. Chissom,et al. Forecasting enrollments with fuzzy time series—part II , 1993 .
[7] B. Chissom,et al. Fuzzy time series and its models , 1993 .
[8] W. Woodall,et al. A comparison of fuzzy forecasting and Markov modeling , 1994 .
[9] Ralf Östermark,et al. The impact of information timeliness on the predictability of stock and futures returns: An application of vector models , 1995 .
[10] Shyi-Ming Chen,et al. Forecasting enrollments based on fuzzy time series , 1996, Fuzzy Sets Syst..
[11] Shyi-Ming Chen,et al. Handling forecasting problems using fuzzy time series , 1998, Fuzzy Sets Syst..
[12] R.I. John,et al. Type 2 fuzzy sets and neuro-fuzzy clustering of radiographic tibia images , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).
[13] N. N. Karnik,et al. Applications of type-2 fuzzy logic systems: handling the uncertainty associated with surveys , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).
[14] Paul D. Koch,et al. Economic determinants of the correlation structure across international equity markets , 1999 .
[15] S. Sosvilla‐Rivero,et al. Dancing with bulls and bears: Nearest-neighbour forecasts for the Nikkei index , 1999 .
[16] Jerry M. Mendel,et al. Uncertainty, fuzzy logic, and signal processing , 2000, Signal Process..
[17] Shyi-Ming Chen,et al. Temperature prediction using fuzzy time series , 2000, IEEE Trans. Syst. Man Cybern. Part B.
[18] Pierre Giot,et al. Modelling daily value-at-risk using realized volatility and arch type models , 2001 .
[19] Kunhuang Huarng,et al. Heuristic models of fuzzy time series for forecasting , 2001, Fuzzy Sets Syst..
[20] Kunhuang Huarng,et al. Effective lengths of intervals to improve forecasting in fuzzy time series , 2001, Fuzzy Sets Syst..
[21] Yian-Kui Liu,et al. The completion of a fuzzy measure and its applications , 2001, Fuzzy Sets Syst..
[22] Gwo-Hshiung Tzeng,et al. Fuzzy ARIMA model for forecasting the foreign exchange market , 2001, Fuzzy Sets Syst..
[23] Gwo-Hshiung Tzeng,et al. A fuzzy seasonal ARIMA model for forecasting , 2002, Fuzzy Sets Syst..
[24] Michael McAleer,et al. Non-linear modelling and forecasting of S&P 500 volatility , 2002, Math. Comput. Simul..
[25] Berlin Wu,et al. A New Approach Of Bivariate Fuzzy Time Series Analysis To The Forecasting Of A Stock Index , 2003, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[26] F. Morabito,et al. Fuzzy time series approach for disruption prediction in Tokamak reactors , 2003 .
[27] Hui-Kuang Yu. A refined fuzzy time-series model for forecasting , 2005 .
[28] Hui-Kuang Yu. Weighted fuzzy time series models for TAIEX forecasting , 2005 .
[29] Kun-Huang Huarng,et al. The application of neural networks to forecast fuzzy time series , 2006 .