Applying induced aggregation operator in designing intelligent monitoring system for financial market

Financial intelligent monitoring system is emerging new research area and also has great commercial potentials. Traditional technical analysis relies on some statistics including technical indicators to determine turning point of the trend. Despite the fact that financial markets conform to some mat...

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Bibliographic Details
Published in:	2009 IEEE Symposium on Computational Intelligence for Financial Engineering pp. 80 - 84
Main Authors:	Fonooni, B., Moghadam, S.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-03-2009
Subjects:	Algorithm design and analysis Artificial intelligence Economic forecasting Information analysis Intelligent systems Java Monitoring Open wireless architecture Pattern analysis State estimation
Online Access:	Get full text
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Summary:	Financial intelligent monitoring system is emerging new research area and also has great commercial potentials. Traditional technical analysis relies on some statistics including technical indicators to determine turning point of the trend. Despite the fact that financial markets conform to some mathematical concepts and cause it to be analyzed with different Artificial Intelligence (AI) algorithms, this paper headed for applying Induced Ordered Weighted Averaging (IOWA) operator in order to support trading decisions based on technical analysis in Foreign Exchange Market.
ISBN:	9781424427741 1424427746
ISSN:	2380-8454
DOI:	10.1109/CIFER.2009.4937506