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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/2142/2/DSSFuzzyLogicStock_ITSim2010_p1.pdf http://eprints.utp.edu.my/2142/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|