Mathematical modeling in decision making process under conditions of uncertainty in human resources training and development

Abstract

The aim of this paper is the applying, in a particular case of human resources training and development, of some mathematical models of decision making under conditions of uncertainty. The models are also known in other applications, from other fields. In this article, we wanted to show that they can be also applied in human resources training and development, which represents an original contribution in this field. In uncertainty situations, the decisionmaker can not evaluate the apparition probability of the different stages of nature, since he does not have enough information and the variables are partially controllable. In such situations, the decision-maker can resort, for choosing the decisional variants, to different models (rules, techniques and criterions), that are part of the decisional theory, such as: max-min (Abraham Wald’s); max-max (optimist); pessimist optimist (optimal); min-max (the criterion of reducing the regret; Savage’s); equiprobability’s or insufficient reason’s (Laplace’s). Each model has a different vision of the manifestation probability of the future events and they consequences.