Name
Abstract | ||
|---|---|---|
The multiple fuzzy linear regression model with fuzzy input-fuzzy output is considered. Assuming that fuzzy inputs and fuzzy outputs are modeled by triangular fuzzy numbers, we prove the consistency and asymptotic normality of the least squares estimators. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-42972-4_65 | SOFT METHODS FOR DATA SCIENCE |
Field | DocType | Volume |
Least squares,Computer science,Fuzzy logic,Generalized least squares,Non-linear least squares,Total least squares,Fuzzy number,Statistics,Explained sum of squares,Linear least squares | Conference | 456 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin Hee Yoon | 1 | 77 | 10.77 |
| Seung-Hoe Choi | 2 | 73 | 8.89 |
| Przemyslaw Grzegorzewski | 3 | 484 | 52.86 |