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Research Article

Rule Based Approach For Stock Selection: An Expert System


Author(s): Sachin Kamley , R.S. Thakur,Shailesh Jaloree
Affiliation: Deptt. of Comp. App.,S.A.T.I.,Vidisha (M.P.), India
Year of Publication: 2015
Source: International Journal of Computing Algorithm
     
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Citation: Sachin Kamley, R.S. Thakur,Shailesh Jaloree. "Rule Based Approach For Stock Selection: An Expert System." International Journal of Computing Algorithm 4.1 (2015): 15-18.

Abstract:
Artificial Intelligence AI is one of most emerging field in the research field and has given boost to the most growing technology known as Expert System ES. An ES is a computer based program that is built to solve the problems in specialized domain. There are various expert systems in diversified areas like medical, engineering, agriculture, science etc. have been developed over the last five decades. Stock market is also one of the most important growing areas which shows the country’s economic growth and also shows the need of expert system. This paper mainly highlights the need of expert system in stock market as well as rule based expert system approach for particular stock selection.


Keywords Artificial Intelligence, Expert System, Stock Market, Rule Based, Forward Reasoning.


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@article{Rul1587011, author = {Sachin Kamley,R.S. Thakur,Shailesh Jaloree}, title = {Rule Based Approach For Stock Selection: An Expert System}, journal={International Journal of Computing Algorithm}, volume={4}, issue={1}, issn = {2278-2397}, year = {2015}, publisher = {Scholarly Citation Index Analytics-SCIA}

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  • [10]M.H. FazelZarandi and E. HajigolYazdi, “A Type-2 Fuzzy Rule Based Expert System Model for Portfolio Selection”, Proceedings of the 11th Joint Conference on Information Sciences, Atlantis Press, PP. 1-8, 2008.
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