| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 394668 | Information Sciences | 2009 | 12 Pages |
Abstract
This paper first introduces a piecewise linear interpolation method for fuzzy-valued functions. Based on this, we present a concrete approximation procedure to show the capability of four-layer regular fuzzy neural networks to perform approximation on the set of all dpdp continuous fuzzy-valued functions. This approach can also be used to approximate d∞d∞ continuous fuzzy-valued functions. An example is given to illustrate the approximation procedure.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Huan Huang, Congxin Wu,