The Application of Fuzzy Logic in Determining Outcomes of eSports Events

Simple item page
dc.cclicenceN/Aen
dc.contributor.authorDeane, Spencer
dc.contributor.authorKhuman, A. S.
dc.date.acceptance2021-05-05
dc.date.accessioned2021-05-12T09:24:13Z
dc.date.available2021-05-12T09:24:13Z
dc.date.issued2021-05-05
dc.description.abstractAs 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.en
dc.funderNo external funderen
dc.identifier.citationDeane 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. 235-252en
dc.identifier.doihttps://doi.org/10.1007/978-3-030-66474-9_14
dc.identifier.isbn9783030664749
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/20843
dc.language.isoenen
dc.peerreviewedYesen
dc.publisherSpringer, Chamen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectFuzzy logicen
dc.subjectEsports analysisen
dc.subjectEsports performanceen
dc.subjectMamdani inference systemen
dc.subjectCounter strike global offensiveen
dc.titleThe Application of Fuzzy Logic in Determining Outcomes of eSports Eventsen
dc.typeBook chapteren

Files

License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.2 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

School of Computer Science and Informatics