Affiliations: [a] Interdisciplinary Centre for Computational Modelling, University of Rzeszów, Pigonia 1, 35-310 Rzeszów, Poland. sczuma@ur.edu.pl, bazan@ur.edu.pl | [b] Faculty of Mathematics and Natural Sciences, University of Rzeszów, Pigonia 1, 35-310 Rzeszów, Poland. lzareba@ur.edu.pl | [c] II Department of Internal Medicine, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland. mmsocha@cyf-kr.edu.pl, basiasok1@gmail.com | [d] Interdisciplinary Centre for Computational Modelling, University of Rzeszów, Pigonia 1, 35-310 Rzeszów, Poland. ppardel@ur.edu.pl, ldydo@ur.edu.pl
Correspondence:
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Address for correspondence: Interdisciplinary Centre for Computational Modelling, University of Rzeszów, Pigonia 1, 35-310 Rzeszów, Poland
Abstract: The decision making depends on the perception of the world and the proper identification of objects. The perception can be modified by various factors, that alter a way of perceiving the object even though the object is not changed (e.g., in the perception of a medical condition, such factors can be drugs or diet). The purpose of this research is to study how the disturbing factors can influence the perception. The idea was to introduce the description of the rules of these changes. We propose a method for evaluating the effect of additional therapy in patients with coronary heart disease based on the tree of the impact. The leaves of the tree provide cross-decision rules of perception changes which could be suggested as a solution to the problem of predicting changes in perception. The problems considered in this paper are associated with the design of classifiers which allow the perception of the object in the context of information related to the decision attribute.
Keywords: classification, perception interference, cross-decision rules, tree of impact
