Yusof, Mohd Kamir and Abdul Rahman, Mohd Nordin and Azlan, Atiqah (2013) Reducing of Inconsistent Data using Fuzzy Multi Attribute Decision Making for Accessing Data from Database. International Journal of Database Theory and Application, 6 (1). pp. 1-11. ISSN 2005-4270
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Abstract
Inconsistent data in database occurs due to increasing number of data. A suitable technique is needed to reduce inconsistent data from database. In this paper, fuzzy multi attribute decision making was chosen to reduce inconsistent data from database. This technique contains 5 steps which are deriving quality vector, scale the quality matrix, compute weighted Euclidean distance and select final alternative. An application was developed using java and oracle technology. Sample data was selected for experiments purposes. The result indicates fuzzy multi attribute decision making is a suitable technique in reducing inconsistent data from database. Algorithm in fuzzy multi attribute decision making is able to find out a correct object.
Item Type: | Article |
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Uncontrolled Keywords: | Fuzzy multi attributes decision making, inconsistent data, quality data |
Subjects: | Z Bibliography. Library Science. Information Resources > ZA Information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases |
Divisions: | Faculty of Informatics & Computing |
Depositing User: | Syahmi Manaf |
Date Deposited: | 13 Sep 2022 05:29 |
Last Modified: | 13 Sep 2022 05:29 |
URI: | http://eprints.unisza.edu.my/id/eprint/3816 |
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