natural and human systems. In the present study, an interval fuzzy multiobjective programming (IFMOP) method was used to solve … consideration and optimization. Integrality and uncertainty, as well as the multiobjective and dynamic characteristics of the …

´s theory of fuzzy sets results on general principle show to deal with uncertainty. The paperworks with month, week and daily …Methods how to face the uncertainty has been developed for a long time in area of financial markets, therefore many … applicable approaches, capable to deal with the matter of uncertainty are available. Combining these methods with Bart Kosko …

In investment appraisal, uncertainty can be managed through intervals or fuzzy numbers because the arithmetical … different ways uncertainty propagates depending on which variable is known and which one is derived. The relations between fuzzy … and fuzzy numbers to the Average Internal Rate of Return (AIRR), recently introduced for overcoming the problems of the …

conventions). The fuzzy logic, in turn, offers a form of treating the decision process when agents only have imprecise and … subjective information in a context of complexity and uncertainty. This paper discusses the points of convergence and … complementarities between the fuzzy logic and the theory of behavior based on limited rationality and rule-guided economic behavior. …

forecasted using probability under conditions of uncertainty. …

on game theory and elements of fuzzy set theory to solve the problem, taking into account uncertainty of information and …