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Assessing experience in the deliberate practice of running using a fuzzy decision-support system

The judgement of skill experience and its levels is ambiguous though it is crucial for decision-making in sport sciences studies. We developed a fuzzy decision support system to classify experience of non-elite distance runners. Two Mamdani subsystems were developed based on expert running coaches’...

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Autores principales: Roveri, Maria Isabel, Manoel, Edison de Jesus, Onodera, Andrea Naomi, Ortega, Neli R. S., Tessutti, Vitor Daniel, Vilela, Emerson, Evêncio, Nelson, Sacco, Isabel C. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560589/
https://www.ncbi.nlm.nih.gov/pubmed/28817655
http://dx.doi.org/10.1371/journal.pone.0183389
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author Roveri, Maria Isabel
Manoel, Edison de Jesus
Onodera, Andrea Naomi
Ortega, Neli R. S.
Tessutti, Vitor Daniel
Vilela, Emerson
Evêncio, Nelson
Sacco, Isabel C. N.
author_facet Roveri, Maria Isabel
Manoel, Edison de Jesus
Onodera, Andrea Naomi
Ortega, Neli R. S.
Tessutti, Vitor Daniel
Vilela, Emerson
Evêncio, Nelson
Sacco, Isabel C. N.
author_sort Roveri, Maria Isabel
collection PubMed
description The judgement of skill experience and its levels is ambiguous though it is crucial for decision-making in sport sciences studies. We developed a fuzzy decision support system to classify experience of non-elite distance runners. Two Mamdani subsystems were developed based on expert running coaches’ knowledge. In the first subsystem, the linguistic variables of training frequency and volume were combined and the output defined the quality of running practice. The second subsystem yielded the level of running experience from the combination of the first subsystem output with the number of competitions and practice time. The model results were highly consistent with the judgment of three expert running coaches (r>0.88, p<0.001) and also with five other expert running coaches (r>0.86, p<0.001). From the expert’s knowledge and the fuzzy model, running experience is beyond the so-called "10-year rule" and depends not only on practice time, but on the quality of practice (training volume and frequency) and participation in competitions. The fuzzy rule-based model was very reliable, valid, deals with the marked ambiguities inherent in the judgment of experience and has potential applications in research, sports training, and clinical settings.
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spelling pubmed-55605892017-08-25 Assessing experience in the deliberate practice of running using a fuzzy decision-support system Roveri, Maria Isabel Manoel, Edison de Jesus Onodera, Andrea Naomi Ortega, Neli R. S. Tessutti, Vitor Daniel Vilela, Emerson Evêncio, Nelson Sacco, Isabel C. N. PLoS One Research Article The judgement of skill experience and its levels is ambiguous though it is crucial for decision-making in sport sciences studies. We developed a fuzzy decision support system to classify experience of non-elite distance runners. Two Mamdani subsystems were developed based on expert running coaches’ knowledge. In the first subsystem, the linguistic variables of training frequency and volume were combined and the output defined the quality of running practice. The second subsystem yielded the level of running experience from the combination of the first subsystem output with the number of competitions and practice time. The model results were highly consistent with the judgment of three expert running coaches (r>0.88, p<0.001) and also with five other expert running coaches (r>0.86, p<0.001). From the expert’s knowledge and the fuzzy model, running experience is beyond the so-called "10-year rule" and depends not only on practice time, but on the quality of practice (training volume and frequency) and participation in competitions. The fuzzy rule-based model was very reliable, valid, deals with the marked ambiguities inherent in the judgment of experience and has potential applications in research, sports training, and clinical settings. Public Library of Science 2017-08-17 /pmc/articles/PMC5560589/ /pubmed/28817655 http://dx.doi.org/10.1371/journal.pone.0183389 Text en © 2017 Roveri et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Roveri, Maria Isabel
Manoel, Edison de Jesus
Onodera, Andrea Naomi
Ortega, Neli R. S.
Tessutti, Vitor Daniel
Vilela, Emerson
Evêncio, Nelson
Sacco, Isabel C. N.
Assessing experience in the deliberate practice of running using a fuzzy decision-support system
title Assessing experience in the deliberate practice of running using a fuzzy decision-support system
title_full Assessing experience in the deliberate practice of running using a fuzzy decision-support system
title_fullStr Assessing experience in the deliberate practice of running using a fuzzy decision-support system
title_full_unstemmed Assessing experience in the deliberate practice of running using a fuzzy decision-support system
title_short Assessing experience in the deliberate practice of running using a fuzzy decision-support system
title_sort assessing experience in the deliberate practice of running using a fuzzy decision-support system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560589/
https://www.ncbi.nlm.nih.gov/pubmed/28817655
http://dx.doi.org/10.1371/journal.pone.0183389
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