Characterization of compact subsets of fuzzy sets
Fuzzy Sets and Systems
A fuzzy lagrange interpolation theorem
Fuzzy Sets and Systems
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Can fuzzy neural nets approximate continuous fuzzy functions?
Fuzzy Sets and Systems
Can neural nets be universal approximators for fuzzy functions?
Fuzzy Sets and Systems
Analyses of regular fuzzy neural networks for approximation capabilities
Fuzzy Sets and Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Approximation accuracy analysis of fuzzy systems as function approximators
IEEE Transactions on Fuzzy Systems
Kernel shapes of fuzzy sets in fuzzy systems for function approximation
Information Sciences: an International Journal
Statistical fuzzy approximation by fuzzy positive linear operators
Computers & Mathematics with Applications
Numerical solution of a system of fuzzy polynomials by fuzzy neural network
Information Sciences: an International Journal
Spline approximation of fuzzy functions
MATH'05 Proceedings of the 8th WSEAS International Conference on Applied Mathematics
Hi-index | 0.00 |
For the given fuzzy valued function J: Rn → F0(R), the fuzzy valued Bernstein polynomial is introduced to show the fact that continuous fuzzy valued functions can be approximately represented as the fuzzy valued polynomials on any compact set U ⊂ Rn. Some equivalent condition for the continuous fuzzy function F:F0(R)n → F0(R) that can be approximated to any degree of accuracy by fuzzy polynomials on arbitrary compact set U ⊂ F0(R)n are presented.