A study on data analysis using rough set theory in PUBG

Abstract

In recent years, the demand for data analysis has been increasing in the field of e-sports, which has been developing remarkably. In this study, we aim to find ”conditions and factors closely related to the ranking” from various data related to e-sports by using rough set theory and decision rule analysis. The subject of analysis in this study is PUBG, an online shooting game in battle royale format. As a result, we found common factors that have high contribution to the ranking regardless of the number of team members or the type of map, as well as factors that have different contribution depending on the number of team members and the type of map. In addition, we were able to differentiate our method from other methods of predictive analysis in the analysis of rankings using decision rules.