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<0.001) 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.
Highlights
Fuzzy rule-based models are systems whose variables are described by fuzzy sets rather than crisp numbers
Because the definition of experience in recreational long-distance runners is still arbitrary and prone to wide variance among authors, we developed a computer-based system using fuzzy logic to classify this phenomenon
The mathematical fuzzy model developed, systematized the knowledge of running experts, turning it into linguistic variables, which in turn were transformed into fuzzy sets
Summary
The ifthen fuzzy rules were used to evaluate the quality of practice and the running experience both being based on the knowledge of experts. The meetings developed linguistic variables that were translated into the fuzzy rule-based model to classify running experience.
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