Article ID Journal Published Year Pages File Type
391340 Fuzzy Sets and Systems 2006 15 Pages PDF
Abstract

Spline functions are widely used in the field of approximation theory and its applications. In this article, we propose the use of π functions which are spline functions of degree two, as membership functions of the input variables. At first, we show by a constructive theory that multi-input-single-output (MISO) Sugeno Fuzzy Logic Systems with π input variables membership functions are universal approximators to every continuously differentiable function defined on a compact subset of Rn. Moreover they are of first order approximation accuracy. Then, we show that with appropriately chosen parameters of the π functions, fuzzy logic systems with π input variables membership functions are universal approximators not only for the function itself but also for its first order derivative.

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Physical Sciences and Engineering Computer Science Artificial Intelligence