Fuzzy evaluation of statistically based generalized mechanical functions

Abstract

In mechanical design engineers many times have to find the kind of parameters which are not known but must be realistic. To make this case even harder sometimes ambiguous parameters have to be evaluated. This paper introduces two mathematical methods to find the optimal parameters of the mechanical functions. Fuzzy method helps the evaluation of the mechanical functions and their combinations. The statistically based generalized function models provide realistic input for this fuzzy evaluation. Both methods are easy to convert into algorithm and they are tested in an up to date design task.