| Article ID: | iaor19951052 |
| Country: | Netherlands |
| Volume: | 63 |
| Issue: | 1 |
| Start Page Number: | 45 |
| End Page Number: | 55 |
| Publication Date: | Apr 1994 |
| Journal: | Fuzzy Sets and Systems |
| Authors: | Peters Georg |
| Keywords: | statistics: regression |
This paper introduces a new class of fuzzy linear regression models based on Tanaka’s approach. Unlike in the Tanaka model, here all training data influence the estimated interval. The (crisp) LP of Tanaka’s approach is generalized to a fuzzy linear programming problem. With the proposed model, an adaptation of the fuzzy regression equation to new data becomes possible.