Aplikace fuzzy teorie v diagnostice výkonnostních předpokladů v tenisu
Application of fuzzy theory in diagnosis of performance preconditions in tennis

Summary/Abstract: An important factor in sports performance in tennis is the optimal fitness level of the athlete. Diagnosisof its level is often done in practice by motor tests or tested batteries, the results found are an importantstarting point for control, regulation and planning of training. To test the test results, test standardsbased on classical probability (discrete) approach are most frequently used. Recently, some sportingresearch has also made attempts to use a so-called fuzzy approach, based on the theory of fuzzylogic created by L. A. Zadeh. The aim of the study is to present the principles of evaluation of test resultsusing 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 ofCzech tennis players aged 13–14 (n = 211, height 170 ± 8.9 cm, weight 57.2 ± 9.2 kg) who participatedin regular testing of Czech tennis from 2000 to 2015 using the TENDIAG1 test battery. FuzzME softwarewas used to demonstrate data analysis using fuzzy access. The degree of fuzzy and probability accesswas both materially and statistically significant (r = 0.94). The assessment of the factual significanceof differences in the mean values of the results obtained by both approaches using Cohen’s d showeda small, factually insignificant difference (d = 0.36). However, it is clear that fuzzy evaluation providesa significant differentiation of individual players’ partial results. Especially in the results of playersmoving on the boundaries of rating categories, fuzzy access allows a more gentle and more preciseresolution of the level of the conditions.

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