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Uncertainty analysis for efficient fuel allocation using info-gap theory

Tomaszewska K., Piegat A.

Information Systems in Management

2015

Vol. 4, No. 3

228--238

Theory decision under uncertainty applies different methods to predict future events, physical measurements, which are already unknown. The paper shows one of the decision-making methods in conditions of severe uncertainty in application to a problem. Some aspects of the robustness and opportuneness functions of Info-Gap Theory are presented and used to evaluate the example of efficient fuel allocation. A general outline of decision analysis is presented, including its orientation and models.