The article presents the problem of a decision-making process based on the method known as the analysis of interconnected decision areas (AIDA). Author described the basic assumptions of the AIDA method and the classic method of its implementation with the usage of a decision tree. Crucially,...

The decision tree algorithm for monotone classification presented in [4, 10] requires strictly monotone data sets. This paper addresses the problem of noise due to violation of the monotonicity constraints and proposes a modification of the algorithm to handle noisy data. It also presents...