A type-2 fuzzy rule-based expert system model for stock price analysis

In this paper, a type-2 fuzzy rule based expert system is developed for stock price analysis. Interval type-2 fuzzy logic system permits us to model rule uncertainties and every membership value of an element is interval itself. The proposed type-2 fuzzy model applies the technical and fundamental i...

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Bibliographic Details
Published in:Expert systems with applications 2009, Vol.36 (1), p.139-154
Main Authors: Fazel Zarandi, M.H., Rezaee, B., Turksen, I.B., Neshat, E.
Format: Article
Language:English
Subjects:
Forecasting
Fuzzy rule based systems
Stock market
Type-2 fuzzy modeling
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Summary:In this paper, a type-2 fuzzy rule based expert system is developed for stock price analysis. Interval type-2 fuzzy logic system permits us to model rule uncertainties and every membership value of an element is interval itself. The proposed type-2 fuzzy model applies the technical and fundamental indexes as the input variables. This model is tested on stock price prediction of an automotive manufactory in Asia. Through the intensive experimental tests, the model has successfully forecasted the price variation for stocks from different sectors. The results are very encouraging and can be implemented in a real-time trading system for stock price prediction during the trading period.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2007.09.034