Referenced Items are not available for this document.
This paper presents a fuzzy stochastic prediction method for real-time predicting of stock prices. A complete contrast to the crisp stochastic method, it requires a fuzzy linguistic summary approach to computing parameters. This approach, which is found to be better than the gray prediction method, can eliminate outliers and limit the data to a normal condition for prediction, with a comparatively very small deviation of 4.5 percent.
Published in:
Knowledge and Data Engineering, IEEE Transactions on
(Volume:15
,
Issue:
4
)
Date of Publication: July-Aug. 2003
- Page(s):
- 1033 - 1037
- ISSN :
- 1041-4347
- INSPEC Accession Number:
- 7702603
- Digital Object Identifier :
- 10.1109/TKDE.2003.1209017
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 09 July 2003
- Issue Date :
- July-Aug. 2003
- Sponsored by :
- IEEE Computer Society
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