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The focus of this paper is the data preparation procedure of triangular fuzzy number to build an improved fuzzy random auto-regression model using non- ...
A novel forecasting method based on multi-order fuzzy time series and technical analysis · Business, Computer Science. Inf. Sci. · 2016.
Therefore, the focus of this paper is the data preparation procedure of triangular fuzzy number to build an improved fuzzy random autoregression model using non ...
Apr 14, 2023 · This section provides the basic concepts of fuzzy random variables and fuzzy random auto-regression models. Both concepts are very important in ...
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A complete procedure is proposed which includes: fuzzifying the historical data, developing a fuzzy time series model, and calculating and interpreting the ...
Jun 20, 2023 · "A new procedure in stock market forecasting based on fuzzy random auto-regression time series model". Efendi, Riswan and Arbaiy, Nureize and ...
Arbaiy and M. M. Deris , A new procedure in stock market forecasting based on fuzzy random auto-regression time series model, Information Sciences 441 (2018) ...
Stock Market Price Forecasting (opens in a new tab) ... A new procedure in stock market forecasting based on fuzzy random auto-regression time series model.
Aug 26, 2021 · This study proposes a novel turning point prediction method for the time series analysis of stock price.
A new hybrid method which is a mixture of FTS with Seasonal Auto Regressive Fractionally. Integrated Moving Average (SARFIMA) is proposed in [81]. A hybrid ...