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 d p continuous fuzzy-valued functions. This approach can also be used to approximate d ∞ continuous fuzzy-valued functions. An example is given to illustrate the approximation procedure.

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