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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Bibliographic Details
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/ http://eprints.utp.edu.my/2142/2/DSSFuzzyLogicStock_ITSim2010_p1.pdf

id	utp-2142
recordtype	eprints
spelling	utp-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 Universiti Teknologi Petronas
repository_type	Digital Repository
institution_category	Local University
building	UTP Repository
collection	Online Access
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/ http://eprints.utp.edu.my/2142/2/DSSFuzzyLogicStock_ITSim2010_p1.pdf
first_indexed	2018-09-08T10:09:23Z
last_indexed	2018-09-08T10:09:23Z
_version_	1611033596315828224

Decision Making Using Fuzzy Logic for Stock Trading

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