Name
Abstract | ||
|---|---|---|
Recently it has been shown that sum and product are not the only operations that can be used in order to define concrete approximation operators but several operations provided by fuzzy logic can be used. In this sense, in the present paper, pseudo-linear approximation operators of Shepard-type are studied from the practical point of view, in function approximation. It is shown that in several cases these outperform classical approximation operators based on sum and product operations. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/FUZZY.2006.1681876 | 2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 |
Keywords | Field | DocType |
function approximation,approximation theory,linear approximation,fuzzy logic | Applied mathematics,Discrete mathematics,Approximation algorithm,Mathematical Operators,Function approximation,Computer science,Control theory,Fuzzy logic,Minimax approximation algorithm,Approximation theory,Operator theory,Small-angle approximation | Conference |
ISSN | Citations | PageRank |
1098-7584 | 2 | 0.46 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Imre J. Rudas | 1 | 388 | 63.89 |
| Barnabás Bede | 2 | 689 | 44.85 |
| Hajime Nobuhara | 3 | 192 | 34.02 |
| Kaoru Hirota | 4 | 1634 | 195.49 |