On a Decision Rule for Mixed Strategy Searching Under Uncertainty on the basis of the Coefficient of Optimism

Abstract The paper presents a new decision rule which may be applied for mixed strategy searching under uncertainty, which means that the decision maker (DM) is able to prepare a payoffs’ matrix with possible alternatives and scenarios, but he does not know the probability of the occurrence of particular states of nature. The advantage of the new method, called the β-decision rule for mixed strategies, is the fact that it takes into account the DM's coefficient of optimism on the basis of which a set of the most probable events is suggested and an optimization model is formulated and solved.

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