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

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Listed:
  • Maria Isabel Roveri
  • Edison de Jesus Manoel
  • Andrea Naomi Onodera
  • Neli R S Ortega
  • Vitor Daniel Tessutti
  • Emerson Vilela
  • Nelson Evêncio
  • Isabel C N Sacco

Abstract

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 0.86, p

Suggested Citation

  • Maria Isabel Roveri & Edison de Jesus Manoel & Andrea Naomi Onodera & Neli R S Ortega & Vitor Daniel Tessutti & Emerson Vilela & Nelson Evêncio & Isabel C N Sacco, 2017. "Assessing experience in the deliberate practice of running using a fuzzy decision-support system," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
    • Handle: RePEc:plo:pone00:0183389
    DOI: 10.1371/journal.pone.0183389
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