The Application of Fuzzy Logic in Determining Outcomes of eSports Events

Date

2021-05-05

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

Springer, Cham

Type

Book chapter

Peer reviewed

Yes

Abstract

As eSports skyrocket in popularity, the saturation of top talent intensifies. Hundreds of millions of dollars in prize money are distributed amongst this talent, resulting in fierce competition. To get ahead, players go to extreme measures to gain marginal performance increases. Besides intense training and performance enhancing drugs, athletes seek intelligent analytical tools which can provide useful insights into a player’s strengths and weaknesses. This report showcases a fuzzy system which uses real-world data and determines a player’s percentage chance of winning a duel in the online first-person shooter video game Counter-Strike Global Offensive, one of the leading eSports.

Description

Keywords

Fuzzy logic, Esports analysis, Esports performance, Mamdani inference system, Counter strike global offensive

Citation

Deane S., Khuman A.S. (2021) The Application of Fuzzy Logic in Determining Outcomes of eSports Events. In: Carter J., Chiclana, F., Khuman A.S., Chen T. (eds) Fuzzy Logic: Recent Applications and Developments. Springer, Cham, pp. 235-252

Rights

Research Institute

Institute of Artificial Intelligence (IAI)