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

Author

Fonooni, Benjamin ; Moghadam, Seied Javad Mousavi

Author_Institution

Artificial Intell. Alternative Solutions Lab., Tehran

fYear

2009

fDate

March 30 2009-April 2 2009

Firstpage

80

Lastpage

84

Abstract

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.

Keywords

artificial intelligence; foreign exchange trading; monitoring; artificial intelligence algorithms; financial market; foreign exchange market; induced aggregation operator; induced ordered weighted averaging operator; intelligent monitoring system; Algorithm design and analysis; Artificial intelligence; Economic forecasting; Information analysis; Intelligent systems; Java; Monitoring; Open wireless architecture; Pattern analysis; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Financial Engineering, 2009. CIFEr '09. IEEE Symposium on

Conference_Location

Nashville, TN

Print_ISBN

978-1-4244-2774-1

Type

conf

DOI

10.1109/CIFER.2009.4937506

Filename

4937506