Open AccessWeighting the Position & Skillset of Players in League of Legends Using Analytic Hierarchy Process
Author(s) -
Jeremiah Anyi Wan,
Ahmad A. Kamal,
Shapi-ee bin Abd Rahman
Publication year - 2021
Publication title -
journal of it in asia
Language(s) - English
Resource type - Journals
ISSN - 1823-5042
DOI - 10.33736/jita.2846.2021
Subject(s) - analytic hierarchy process , pairwise comparison , league , position (finance) , weighting , computer science , hierarchy , competition (biology) , scale (ratio) , process (computing) , field (mathematics) , operations research , business , artificial intelligence , mathematics , political science , geography , law , cartography , medicine , ecology , physics , finance , astronomy , biology , pure mathematics , radiology , operating system
Today, esports such as League of Legends are a popular form of competition using video games. Many researchers have conducted studies in the esports field such as player psychology, training, and physical exercise; however, those that apply quantitative techniques are still scarce. In this paper, Analytic Hierarchy Process is proposed for weighting position and skillsets of players in League of Legends. It is hypothesized by the developer that pairwise comparison can be used to derive priority scale through the judgment of experts. A questionnaire is designed to obtain pairwise comparison from players which are then used to develop the priority scale. The empirical results obtained show the weightage of position and skillset of each player. This weightage shows the priorities of certain position compared to other positions, and the priorities of skillsets needed to perform well in each position, based on their judgment. The results can be used to determine the most suitable players for each position with the right skillset quantitatively and systematically.