In this paper we will present a new approach for composing and decomposing functions. This technology is based on the Pliant concept, which is a subclass of the fuzzy concept. We will create an effect by using the conjunction of the sigmoid function. After, we will make a proper transformation of an effect in order to define the neutral value. Then, by repeatedly applying this method, we can create effects. Aggregating the effects, we can compose the desired function. This tool is also capable of function decomposition as well, and can be used to solve a variety of real-time problems. Two advantages of our solution are that the parameters of our algorithm have a semantic meaning, and that it is also possible to use the values of the parameter in any kind of learning procedure.
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