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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/2142/ http://scholars.utp.edu.my/id/eprint/2142/2/DSSFuzzyLogicStock_ITSim2010_p1.pdf |
| _version_ | 1848659208209170432 |
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| author | Othman, Shuhadah Schneider, Etienne |
| author_facet | Othman, Shuhadah Schneider, Etienne |
| author_sort | Othman, Shuhadah |
| building | UTP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-13T07:26:46Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:2142 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:26:46Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:21422017-01-19T08:24:14Z http://scholars.utp.edu.my/id/eprint/2142/ 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 en http://scholars.utp.edu.my/id/eprint/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. |
| spellingShingle | QA75 Electronic computers. Computer science Othman, Shuhadah Schneider, Etienne Decision Making Using Fuzzy Logic for Stock Trading |
| title | 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_short | Decision Making Using Fuzzy Logic for Stock Trading |
| title_sort | decision making using fuzzy logic for stock trading |
| topic | QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/2142/ http://scholars.utp.edu.my/id/eprint/2142/2/DSSFuzzyLogicStock_ITSim2010_p1.pdf |