Application Of Fuzzy Theory In Diagnosis Of Performance Preconditions In Tennis
Vol.12,No.2(2018)
An important factor in sports performance in tennis is the optimal fitness level of the athlete. Diagnosis of its level is often done in practice by motor tests or tested batteries, the results found are an important starting point for control, regulation and planning of training. To test the test results, test standards based on classical probability (discrete) approach are most frequently used. Recently, some sporting research has also made attempts to use a so-called fuzzy approach, based on the theory of fuzzy logic created by L. A. Zadeh. The aim of the study is to present the principles of evaluation of test results using fuzzy approaches and to compare the results obtained using a classical discrete approach. Presentation of the two approaches of the evaluation is documented on the results of testing of sets of Czech tennis players aged 13–14 (n = 211, height 170 ± 8.9 cm, weight 57.2 ± 9.2 kg) who participated in regular testing of Czech tennis from 2000 to 2015 using the TENDIAG1 test battery. FuzzME software was used to demonstrate data analysis using fuzzy access. The degree of fuzzy and probability access was both materially and statistically significant (r = 0.94). The assessment of the factual significance of differences in the mean values of the results obtained by both approaches using Cohen’s d showed a small, factually insignificant difference (d = 0.36). However, it is clear that fuzzy evaluation provides a significant differentiation of individual players’ partial results. Especially in the results of players moving on the boundaries of rating categories, fuzzy access allows a more gentle and more precise resolution of the level of the conditions.
discrete approach; fuzzy logic; FuzzME software; sports performance; test battery
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