International Journal of Computational Intelligence Systems

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Volume 13, Issue 1, 2020, Pages 549 - 558

A Fuzzy Framework to Evaluate Players' Performance in Handball

Authors
Francisco P. Romero1, *, Eusebio Angulo2, Jesús Serrano-Guerrero1, José A. Olivas1
1Department of Information Systems and Technologies, University of Castilla La Mancha, Ciudad Real, Castilla-La Mancha, Spain
2Department of Mathematics, University of Castilla La Mancha, Ciudad Real, Castilla-La Mancha, Spain
*Corresponding author. Email: franciscop.romero@uclm.es
Corresponding Author
Francisco P. Romero
Received 22 November 2019, Accepted 13 April 2020, Available Online 27 May 2020.
DOI
10.2991/ijcis.d.200416.001How to use a DOI?
Keywords
Group decision-making; Handball player evaluation; Rating system; Aggregation operators; Linguistic model
Abstract

The evaluation of the players' performance in sports teams is commonly based on the opinion of experts who do not always agree on the importance of the chosen indicators. This paper presents a novel approach based on fuzzy multi-criteria group decision-making tools for selecting those criteria that best represent the handball player's performance in a match and for setting their relevance weights. Our approach consists of a fuzzy model to aggregate expert judgments. This methodology overcomes some drawbacks of classical systems, including the definition of the relevance of each criteria using linguistic labels. A preliminary evaluation analyzes handball players' performance indicators and their application to a short tournament. Considering the obtained results, we can conclude that the proposal is relevant and provides useful insights regarding player performance in different matches. The proposed methodology has also been compared with a basic plus-minus rating methodology. This comparison illustrates the feasibility of our approach. Results suggest that plus-minus rating is not the best solution to represent the performance of specialized players who only play when their team attack or defense. Our approach demonstrates being more appropriate for sports such as handball because it includes the valuation of a full set of positive actions in defense and attack.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
549 - 558
Publication Date
2020/05/27
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.200416.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Francisco P. Romero
AU  - Eusebio Angulo
AU  - Jesús Serrano-Guerrero
AU  - José A. Olivas
PY  - 2020
DA  - 2020/05/27
TI  - A Fuzzy Framework to Evaluate Players' Performance in Handball
JO  - International Journal of Computational Intelligence Systems
SP  - 549
EP  - 558
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200416.001
DO  - 10.2991/ijcis.d.200416.001
ID  - Romero2020
ER  -