Uncertainty Management Using Triangular Fuzzy Numbers with Associated Variable Indicators

Any decision-making process encounters many difficulties in ensuring the necessary amount of information (the available knowledge being incomplete and insecure, usually in different proportions), respectively the way of determining the optimal decision-making variant, achieving consensus on how to implement. Therefore, the process of making decision under conditions of uncertainty required the development of new ways of its reduction or absorption. It is important to notice that from a practical point of view, the fuzzy numbers are closer subjects for the logic argumentation of an action course specific for IIIrd degree uncertainty conditions, that will ultimately support new perspectives for an easier manner of information modelling in regard with economic and social phenomena. In therefore makes sense the increasing concern for the above mentioned specific instruments theoretical framework developments. The current paperwork considers the uncertainty analysis within the management processes, by using the triangular fuzzy numbers with variable associated indicators, by actually using an uncertainty specific associated absorption indicator, along with elementary operations. Furthermore, an optimal decision analysis, specific for random values of the absorption of the uncertainty indicator it is considered, within different methods.