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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Horng-Jinh Chang Hsiang-Chuan Liu Shang-Wen Tseng Chang, F.M. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Business Administration, Asia University, Wufeng, Taiwan (Horng-Jinh Chang) || Department of Information Science and Applications, Taiwan (Chang, F.M.) || Department of Bioinformatics, Asia University, Wufeng, Taiwan (Hsiang-Chuan Liu) || Department of Computer Science and Information Engineering, Asia University, Wufeng, Taiwan (Shang-Wen Tseng) |
| Abstract | In this paper, for grouped data, three kinds of the Choquet integral regression models with fuzzy measures based on joint entropy, complexity and multiple mutual information is considered. The above three fuzzy measures are called, E-measure, C-measure and M-measure, respectively. For evaluating the Choquet integral regression models with these three information-based fuzzy measures, a real grouped data experiment by using a 5-fold cross validation accuracy is conducted. The performances of the Choquet integral regression models based on these three fuzzy measures, respectively, and the traditional multiple linear regression model are compared. Experimental result shows that the Choquet integral regression model based on our proposed M-measure has the best performance and it outperforms the Choquet integral regression model based on our previous proposed C-measure. |
| Starting Page | 3161 |
| Ending Page | 3166 |
| File Size | 221968 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424437023 |
| DOI | 10.1109/ICMLC.2009.5212801 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Asia Entropy Performance evaluation Linear regression Machine learning Cybernetics Fuzzy sets Bioinformatics Computer science Data engineering Choquet integral regression model E-measure C-measure M-measure Choquet integral |
| Content Type | Text |
| Resource Type | Article |
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