Decision Making Using Fuzzy Logic for Stock Trading

Othman, Shuhadah and Schneider, Etienne (2010) Decision Making Using Fuzzy Logic for Stock Trading. In: ITSIM'10, June 2010, Kuala Lumpur, Malaysia.

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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.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:2142
Deposited By: Dr. Etienne Schneider
Deposited On:12 May 2010 03:42
Last Modified:19 Jan 2017 08:24

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