Obuda University, Keleti Faculty of Business and Management, Hungary
Abstract
This paper is dealing with review of different modeling approaches, available in
contemporary literature, and analyses of their applicability on real technological processes.
During the theoretical discussion the scope of potential options of techniques available for
complex systems modeling are presented. Both analytical and statistical modeling approaches are described. The most important part of the paper is dealing with development of the algorithm for
selection of appropriate numerical modeling approach – ASANMA, based on the structure of the
system and the scope of input variables of the investigated process. Presented assumptions are
based on real-life examples of the numerical models of the real systems. Developed algorithm can be used by decision makers for selection of the appropriate numerical modeling approach, in the practice
