Development of an evolutionary fuzzy expert system for estimating future behavior of stock price

The stock market has always been an attractive area for researchers since no method has been found yet to predict the stock price behavior precisely. Due to its high rate of uncertainty and volatility, it carries a higher risk than any other investment area, thus the stock price behavior is difficul...

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Veröffentlicht in:	Journal of industrial engineering international Jg. 13; H. 1; S. 29 - 46
Hauptverfasser:	Mehmanpazir, Farhad, Asadi, Shahrokh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Heidelberg Springer 01.03.2017 Springer Berlin Heidelberg Islamic Azad University, South Tehran Branch
Schlagworte:	Data mining Engineering Engineering Economics Evolutionary strategy Facility Management Fuzzy expert system Genetic algorithm Industrial and Production Engineering Logistics Marketing Mathematical and Computational Engineering Noise filtering Organization Original Research Quality Control Reliability Safety and Risk Stock price forecasting Fuzzy expert system Noise filtering Data mining Evolutionary strategy Genetic algorithm Stock price forecasting
ISSN:	2251-712X, 1735-5702, 2251-712X
Online-Zugang:	Volltext
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