Decision making using fuzzy logic for stock trading

Othman, S. and Schneider, E. (2010) Decision making using fuzzy logic for stock trading. In: UNSPECIFIED.

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Abstract

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 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 15; Conference of 2010 International Symposium on Information Technology, ITSim'10 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:81915
Uncontrolled Keywords: Complex environments; Fuzzy if-then rules; Linguistic variable; Stock market; Stock trading, Artificial intelligence; Commerce; Decision making; Decision support systems; Decision theory; Fuzzy rules; Fuzzy systems; Information technology; Profitability, Fuzzy logic
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:49
Last Modified: 09 Nov 2023 15:49
URI: https://khub.utp.edu.my/scholars/id/eprint/1032

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