Quantity based time series fuzzified approach for forecasting stock index
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0148310
Reference30 articles.
1. B. P. Joshi and S. Kumar, “A computational method of forecasting based on intuitionistic fuzzy sets and fuzzy time series,” in Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011), pp. 993–1000. Springer, New Delhi (2012).
2. Y. Yabuuchi, J. Watada and Y. Toyoura, Fuzzy AR model of stock price, Scientiae Mathematicae Japonicae, 60(2), pp. 303–310 (2004).
3. A new linguistic out-sample approach of fuzzy time series for daily forecasting of Malaysian electricity load demand
4. TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups
5. Ratio-based lengths of intervals to improve fuzzy time series forecasting
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