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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Bibliographic Details
Published in:	PloS one Vol. 12; no. 8; p. e0183389
Main Authors:	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
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 17-08-2017 Public Library of Science (PLoS)
Subjects:	Analysis Athletes Biology and Life Sciences Clinical decision making Coaches & managers Cognition & reasoning Cognitive ability Computer and Information Sciences Decision making Decision support systems Decision Support Techniques Fuzzy Logic Fuzzy sets Fuzzy systems Information processing Internet Medicine Medicine and Health Sciences Models, Theoretical Occupational therapy Physical therapy Psychological aspects Psychology Reproducibility of Results Research and Analysis Methods Runners (Sports) Running Skill development Skills Social Sciences Training Brazil
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Summary:	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.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Competing Interests: There is no conflict of interest of any kind. The commercial affiliation with Dass Nordeste Calçados e Artigos Esportivos Inc. does not alter our adherence to all PLOS ONE policies on sharing data and materials. Dass Nordeste Calçados e Artigos Esportivos Inc. employs one of the authors (A.N.O.), who was also a PhD student at the public university - University of Sao Paulo, under the supervision of I.C.N.S. Conceptualization: ICNS MIR EJM VT NRSO ANO.Data curation: ICNS MIR EJM VT ANO NE EV NRSO.Formal analysis: MIR VT NRSO ANO.Funding acquisition: ICNS MIR.Investigation: ICNS MIR ANO EJT VT NE EV NRSO.Methodology: NRSO ANO MIR ICNS.Project administration: ICNS EJM.Resources: ICNS NRSO EJM.Software: NRSO.Writing – original draft: ICNS MIR EJM ANO VT NRSO EV NE.Writing – review & editing: ICNS MIR EJM ANO VT NRSO EV NE.
ISSN:	1932-6203 1932-6203
DOI:	10.1371/journal.pone.0183389