Designing financial market intelligent monitoring system based on OWA

Authors:
Benjamin Fonooni;Seied Javad Mousavi Moghadam
Affiliations:
Artificial Intelligence Alternative Solutions Lab, Tehran, Iran;Artificial Intelligence Alternative Solutions Lab, Tehran, Iran
Venue:
ACC'08 Proceedings of the WSEAS International Conference on Applied Computing Conference
Year:
2008

Citing 7
Cited 0

On ordered weighted averaging aggregation operators in multicriteria decisionmaking

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Families of OWA operators

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On the issue of obtaining OWA operator weights

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An analytic approach for obtaining maximal entropy OWA operator weights

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On obtaining minimal variability OWA operator weights

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Induced ordered weighted averaging operators

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Abstract

The need for intelligent monitoring systems for financial markets especially Foreign Exchange has become a necessity to keep track of this market. Financial markets conform to some mathematical concepts and cause it to be analyzed with different Artificial Intelligence (AI) algorithms. Data Fusion has been applied in different fields and the corresponding applications utilize numerous mathematical tools. This paper headed for applying Ordered Weighted Averaging (OWA) operator in order to support trading decisions based on technical analysis in Foreign Exchange Market.