Journal
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Volume 15, Issue 4, Pages 1033-1037Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TKDE.2003.1209017
Keywords
stock price prediction; gray theory; fuzzy theory; stochastic prediction
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This paper presents a fuzzy stochastic prediction method for real-time predicting of stock prices. A complete contrast to the crisp stochastic method, it requires a fuzzy linguistic summary approach to computing parameters. This approach, which is found to be better than the gray prediction method, can eliminate outliers and limit the data to a normal condition for prediction, with a comparatively very small deviation of 4.5 percent.
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