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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Inuiguchi, M. Sakawa, M. Ushiro, S. |
| Copyright Year | 1997 |
| Description | Author affiliation: Dept. of Ind. & Syst. Eng., Hiroshima Univ., Japan (Inuiguchi, M.) |
| Abstract | We propose a fuzzy linear regression technique based on the mean-absolute-deviation. The error between the fuzzy linear regression function and the given data is defined as a fuzzy number based on the extension principle. The fuzzy linear regression function is estimated by the minimization of the sum of the absolute deviations of a level set. Since the minimization problem, has an interval objective function, we introduce an interpretation which can deduce the level set from the data without specifying the levels. Through the repetitive use of this level set estimation, the entire fuzzy linear function, is obtained in the form of a family of level sets. |
| Starting Page | 829 |
| Ending Page | 834 |
| File Size | 509897 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780337964 |
| DOI | 10.1109/FUZZY.1997.622817 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-07-05 |
| Publisher Place | Barcelona |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy sets Linear regression Level set Fuzzy systems Ear Linear systems Systems engineering and theory Regression analysis Least squares methods Minimization methods |
| Content Type | Text |
| Resource Type | Article |
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