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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Othman, S. Schneider, E. |
| Copyright Year | 2010 |
| Description | Author affiliation: Computer and Information Sciences Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Tronoh Perak, Malaysia (Othman, S.; Schneider, E.) |
| 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. |
| Starting Page | 880 |
| Ending Page | 884 |
| File Size | 457588 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424467150 |
| ISSN | 2155899X |
| e-ISBN | 9781424467181 |
| DOI | 10.1109/ITSIM.2010.5561564 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-15 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | fuzzy if-then rules Conferences Companies fuzzy logic decision support system stock trading High definition video |
| Content Type | Text |
| Resource Type | Article |
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