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Decision Making Using Fuzzy Logic for Stock Trading

This paper present the use of fuzzy if-then rules for a decision support system in stock trading. The three following linguistic variables well be the input for the rule : view from the expert, earning – per-share and price to earnings ratio. The purpose of this rule is to assist investors makin...

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Main Authors: Othman, Shuhadah, Schneider, Etienne
Format: Conference or Workshop Item
Published: 2010
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utp.edu.my/2142/2/DSSFuzzyLogicStock_ITSim2010_p1.pdf
http://eprints.utp.edu.my/2142/
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spelling my.utp.eprints.21422017-01-19T08:24:14Z Decision Making Using Fuzzy Logic for Stock Trading Othman, Shuhadah Schneider, Etienne QA75 Electronic computers. Computer science This paper present the use of fuzzy if-then rules for a decision support system in stock trading. The three following linguistic variables well be the input for the rule : view from the expert, earning – per-share and price to earnings ratio. The purpose of this rule is to assist investors making a decision on their shares. The investors need to make a right decision to gain a high profit in stock trading. Stock market is a complex environment. Therefore by using this Artificial Intelligence (AI) application which is Fuzzy Logic (FL) can make it simpler as well as giving benefits to investors. Most of the earlier research works show that FL can work within stocks environment. 2010-06 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/2142/2/DSSFuzzyLogicStock_ITSim2010_p1.pdf Othman, Shuhadah and Schneider, Etienne (2010) Decision Making Using Fuzzy Logic for Stock Trading. In: ITSIM'10, June 2010, Kuala Lumpur, Malaysia. http://eprints.utp.edu.my/2142/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Othman, Shuhadah
Schneider, Etienne
Decision Making Using Fuzzy Logic for Stock Trading
description This paper present the use of fuzzy if-then rules for a decision support system in stock trading. The three following linguistic variables well be the input for the rule : view from the expert, earning – per-share and price to earnings ratio. The purpose of this rule is to assist investors making a decision on their shares. The investors need to make a right decision to gain a high profit in stock trading. Stock market is a complex environment. Therefore by using this Artificial Intelligence (AI) application which is Fuzzy Logic (FL) can make it simpler as well as giving benefits to investors. Most of the earlier research works show that FL can work within stocks environment.
format Conference or Workshop Item
author Othman, Shuhadah
Schneider, Etienne
author_facet Othman, Shuhadah
Schneider, Etienne
author_sort Othman, Shuhadah
title Decision Making Using Fuzzy Logic for Stock Trading
title_short Decision Making Using Fuzzy Logic for Stock Trading
title_full Decision Making Using Fuzzy Logic for Stock Trading
title_fullStr Decision Making Using Fuzzy Logic for Stock Trading
title_full_unstemmed Decision Making Using Fuzzy Logic for Stock Trading
title_sort decision making using fuzzy logic for stock trading
publishDate 2010
url http://eprints.utp.edu.my/2142/2/DSSFuzzyLogicStock_ITSim2010_p1.pdf
http://eprints.utp.edu.my/2142/
_version_ 1738655172556488704
score 13.209306

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