Uncertainty estimation in adaptive decision making systems
The problem of decision making under uncertainty is considered. It is pointed out that most significant decisions made in today’s complex environment are formulated under a state of uncertainty. The purpose of the research is to develop a method for estimating a subject domain uncertainty. A method and algorithm for the quantitative estimation of the current level of uncertainty is proposed. The method is based on the construction of the state vector of the subject domain and the uncertainty coefficient computation. It is shown that having the value of uncertainty coefficient it is possible to determine the moment of readiness of the subject domain or make a decision on the need for its adaptation.