원문정보
초록
영어
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.
목차
1. Introduction
2. Literature Review
3. Implementation of Fuzzy Multi Attribute Decision Making
3.1 Steps in Reducing Inconsistent Data
3.2 Process flows for Reducing Inconsistent Data Using Fuzzy Multi Attribute Decision Making
3.3 Fuzzy Multi Attribute Decision Making Algorithm
4. Implementation and Result
4.1 Experiment and Result
4.2 Analyze the Implementation of Fuzzy Multi Attribute Decision Making
5. Conclusion & Future Work
Acknowledgments
References