Psychologické jevy ovlivňující vnímání byznys pravidel v podnikové praxi

Systems for business rules management enable defining and employing a variety of resources used for complex decision making, which is used in many enterprise IT systems. Business rules include politics, constraints and conditional commands, which can be considered a way of managing businesses on a tactical level. Modern approaches enable automatic learning of business rules from data. Results of such learning are however not always understandable for experts -- business analysts. This Master's thesis explores options of making these models more comprehensible, mainly through the concept of semantic coherence.A series of research questions has been defined based on the studied literature. These questions were used to propose a number of experiments that were conducted via survey research. Results of these experiments were then statistically evaluated. A software tool for easier model handling with regards to semantic coherence has been developed for the purposes of these experiments. Research results are further discussed in the final part of the thesis.