On the internet, we can play hundreds of different online poker tournaments at any moment. In this thesis, we analyze our main research question: how to pick the most suitable online poker tournament (OPT) with regard to the type of the player. According to individual motivations for playing OPT, we profile two types of players: recreational and professional. We define characteristics that differentiate tournaments and assign their importance according to the player type. For decision support, we use analytic hierarchy process (AHP) model. AHP is the one of the most popular methods of multi-criteria decision making, where the results are acquired by pairwise comparisons of criteria. With the AHP method, the decision makers can structure their thoughts and sort them out in a way that is intelligible and understandable. We demonstrate the use of AHP on a practical example of selecting OPT on a selected poker site. We design AHP model to select the most suitable OPT for both types of players from a set of tournaments. We analyzed the strengths and weaknesses of the AHP method, and concluded that it is a suitable tool for selecting an OPT.
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