On a fuzzy approach for the evaluation of golf players

Athletes’ performance may be complex to assess since multiple different metrics may be used to determine the overall performance. This paper proposes a novel fuzzy logic approach to evaluate players’ accuracy in the golf putting context. This evaluation methodology merges thr...

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Main Authors: Micael S. Couceiro, Fernando M. L. Martins, Filipe M. Clemente, Gonçalo Dias, Rui Mendes
Format: Article
Language:English
Published: Maejo University 2014-04-01
Series:Maejo International Journal of Science and Technology
Subjects:
Online Access:http://www.mijst.mju.ac.th/vol8/86-99.pdf
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author Micael S. Couceiro
Fernando M. L. Martins
Filipe M. Clemente
Gonçalo Dias
Rui Mendes
author_facet Micael S. Couceiro
Fernando M. L. Martins
Filipe M. Clemente
Gonçalo Dias
Rui Mendes
author_sort Micael S. Couceiro
collection DOAJ
description Athletes’ performance may be complex to assess since multiple different metrics may be used to determine the overall performance. This paper proposes a novel fuzzy logic approach to evaluate players’ accuracy in the golf putting context. This evaluation methodology merges three input parameters, namely the relative product metrics which are defined by the binary error, the radial error and the argument error. The proposed model herein is suitable to evaluate game context situations involving subjectivity, vagueness and imprecise information. Experimental results show that the evaluation of players’ performance might be different than if we only had the aim of the golf game in mind, which involves placing the ball in the hole with as few shots as possible.
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spelling doaj.art-97a04314f79a420984d855f2d0e0559b2022-12-21T17:57:44ZengMaejo UniversityMaejo International Journal of Science and Technology1905-78731905-78732014-04-01801869910.14456/mijst.2014.8On a fuzzy approach for the evaluation of golf playersMicael S. Couceiro0Fernando M. L. Martins1Filipe M. Clemente2Gonçalo Dias3Rui Mendes4Artificial Perception for Intelligent Systems and Robotics (AP4ISR), Institute of Systems and Robotics (ISR), University of Coimbra, Polo II, Coimbra, PortugalPolytechnic Institute of Coimbra, Coimbra College of Education, Department of Education, PortugalFaculty of Sport Sciences and Physical Education (FCDEF/CIDAF), University of Coimbra, PortugalFaculty of Sport Sciences and Physical Education (FCDEF/CIDAF), University of Coimbra, PortugalInterdisciplinary Centre for the Study of Human Performance, Lisbon Technical University, PortugalAthletes’ performance may be complex to assess since multiple different metrics may be used to determine the overall performance. This paper proposes a novel fuzzy logic approach to evaluate players’ accuracy in the golf putting context. This evaluation methodology merges three input parameters, namely the relative product metrics which are defined by the binary error, the radial error and the argument error. The proposed model herein is suitable to evaluate game context situations involving subjectivity, vagueness and imprecise information. Experimental results show that the evaluation of players’ performance might be different than if we only had the aim of the golf game in mind, which involves placing the ball in the hole with as few shots as possible.http://www.mijst.mju.ac.th/vol8/86-99.pdfgolffuzzy logic approachperformance of golf playersgolf putting
spellingShingle Micael S. Couceiro
Fernando M. L. Martins
Filipe M. Clemente
Gonçalo Dias
Rui Mendes
On a fuzzy approach for the evaluation of golf players
Maejo International Journal of Science and Technology
golf
fuzzy logic approach
performance of golf players
golf putting
title On a fuzzy approach for the evaluation of golf players
title_full On a fuzzy approach for the evaluation of golf players
title_fullStr On a fuzzy approach for the evaluation of golf players
title_full_unstemmed On a fuzzy approach for the evaluation of golf players
title_short On a fuzzy approach for the evaluation of golf players
title_sort on a fuzzy approach for the evaluation of golf players
topic golf
fuzzy logic approach
performance of golf players
golf putting
url http://www.mijst.mju.ac.th/vol8/86-99.pdf
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