Fuzzy evaluation of statistically based generalized mechanical functions

Authors

  • Attila Piros
https://doi.org/10.3311/pp.me.2010-1.07

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.

Keywords:

Fuzzy evaluation, generalized mechanical functions, data interpolation

Citation data from Crossref and Scopus

How to Cite

Piros, A. “Fuzzy evaluation of statistically based generalized mechanical functions”, Periodica Polytechnica Mechanical Engineering, 54(1), pp. 41–48, 2010. https://doi.org/10.3311/pp.me.2010-1.07

Issue

Section

Articles