Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
386859 | Expert Systems with Applications | 2008 | 13 Pages |
Abstract
In this paper, we present a new method to generate weighted fuzzy rules using genetic algorithms for estimating null values in relational database systems, where there are negative functional dependency relationships between attributes. The proposed method can get higher average estimated accuracy rates than the method presented in [Chen, S. M., & Huang, C. M. (2003). Generating weighted fuzzy rules from relational database systems for estimating null values using genetic algorithms. IEEE Transactions on Fuzzy Systems, 11(4), 495–506].
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Shyi-Ming Chen, Chung-Ming Huang,