… This paper presents the decision analysis process both for public and private decision making
… several techniques for decision making under risky, deterministic and uncertain situation …

… decision making, we argue that the computational approach is … accuracy (relative to a normative
algorithm). This represents an … Although this work supports the necessary condition of an …

… We also know that during decision making under risky situation, … and it is one way of
showing an algorithm. The most basic … , methods of decision making under risk and uncertainty. …

… Using this interpretation we can see that the pessimistic strategy is effectively a situation
in which a probability of one is assigned to the worst thing happening given any selection of …

… is solved under conditions of complete or partial uncertainty, an expert method of estimation
… enterprise to adapt the expert method to the conditions for specific problem solving. …

… search for an approach to improve the efficiency of the algorithm, we … algorithms, some
algorithms are more robust in one situation while the others are more robust in the other situation…

… It seems that the situation calls for modelling approaches that would support adaptive … further
development of existing methods that better incorporate key risk components and dynamics …

… We do not present in this paper the mathematical results of the convergence of algorithms,
which … Convergence conditions for the observed mean method in stochastic programming. …

… decision-making approach to ensure a certain minimum level of outcomes regarding forest
health and productivity that are independent of future climatic conditions. … search algorithms to …

… ) technique seems to offer a more powerful analytical instrument for agricultural systems
modeling with respect to risk, uncertainty and decision-making… crop succession requirements. In …