THE APPLICATION OF FUZZY LOGIC IN THE DIAGNOSTICS OF PERFORMANCE PRECONDITIONS IN TENNIS

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

THE APPLICATION OF FUZZY LOGIC IN THE DIAGNOSTICS OF PERFORMANCE PRECONDITIONS IN TENNIS

Popis výsledku v původním jazyce

Sports performance is influenced by a many of factors that can be characterised as its relatively independent - although synergetic - components. The most frequently mentioned are the fitness, somatic, tactical, mental and technical factors of sports performance. The subject of interest in sport is the process of monitoring and evaluating the level of these individual factors, i.e. the diagnostics of sports performance. When diagnosing the level of performance prerequisite for tennis, it is recommended to use those diagnostic methods that focus on tennis-specific performance prerequisites. Analyses of modern tennis show speed (reaction, action), strength (explosive), strength endurance and specific coordination abilities to be the most important motor prerequisites. Diagnostics of the motor prerequisites of an athlete are often performed in practice employing motor tests and test batteries. Methods of evaluating the results obtained are generally based on the probability approach, though an alternative is provided by a method based on the theory of fuzzy logic. The aim of the research was to use the theory of fuzzy logic in evaluating the level of performance prerequisites and compare evaluation results by using of a classical discrete approach and a fuzzy approach. The two approaches are evaluated and compared using the results of testing of a group of 15-16-year old tennis players (n = 203, age M +/- SD = 15.97 +/- 0.57 years, height M +/- SD = 181.9 +/- 6.8 cm, weight M +/- SD = 71.6 +/- 8.6 kg) who took part in regular testing conducted by the Czech Tennis Association in the years 2000-2018 using the TENDIAG1 test battery. STATISTICA 12 software was used for the analysis of data using a probability approach. FuzzME software was used for analysis using of a fuzzy approach. The level of agreement of the results (the Pearson correlation coefficient) obtained by the two approaches (the discrete and the fuzzy approaches) was high both from the effect size (ES, large) and statistical significance points of view (r = 0.89, p = 0.05). The evaluation of the effect size (ES) of the differences between the mean values of the results obtained by the two approaches using the Cohen's d did not demonstrate any substantively significant difference (d = 0.16). For a more detailed analysis, two subsets were selected from the original group of tennis players. They consisted of players with an overall evaluation (probability approach) of 4-5 points and 8-9 points, respectively. The level of agreement between the results in the subgroup with the evaluation 4-5 points was low from both the effect size (ES, small) and statistical significance points of view (r = 0.15, p = 0.05), while the agreement in the subgroup with the evaluation of 8-9 points was at a medium level in terms of the effect size (ES, medium) and statistically insignificant (r = 0.47, p = 0.05). The effect size (ES) assessment of the differences between mean values of the results obtained by the two approaches did not demonstrate any effect (d = 0.12) in the group with the overall score of 4-5 points, and a large effect (d = 0.89, large) in the group with an overall score of 8-9 points. Despite the similarity of the results obtained by the probability and fuzzy methods, it was shown that the fuzzy approach enables a finer differentiation of the level of fitness prerequisites in players on the evaluation boundaries. Since that the results for individual items in the TENDIAG1 test battery indicate the level of individual performance prerequisites, the use of different weighting criteria may be considered for future evaluation using the fuzzy approach. For this approach, the use of the point method, a paired comparison method or the Saaty method can be considered for the identification and calculation of individual subtests weighting.

Název v anglickém jazyce

THE APPLICATION OF FUZZY LOGIC IN THE DIAGNOSTICS OF PERFORMANCE PRECONDITIONS IN TENNIS

Popis výsledku anglicky

Sports performance is influenced by a many of factors that can be characterised as its relatively independent - although synergetic - components. The most frequently mentioned are the fitness, somatic, tactical, mental and technical factors of sports performance. The subject of interest in sport is the process of monitoring and evaluating the level of these individual factors, i.e. the diagnostics of sports performance. When diagnosing the level of performance prerequisite for tennis, it is recommended to use those diagnostic methods that focus on tennis-specific performance prerequisites. Analyses of modern tennis show speed (reaction, action), strength (explosive), strength endurance and specific coordination abilities to be the most important motor prerequisites. Diagnostics of the motor prerequisites of an athlete are often performed in practice employing motor tests and test batteries. Methods of evaluating the results obtained are generally based on the probability approach, though an alternative is provided by a method based on the theory of fuzzy logic. The aim of the research was to use the theory of fuzzy logic in evaluating the level of performance prerequisites and compare evaluation results by using of a classical discrete approach and a fuzzy approach. The two approaches are evaluated and compared using the results of testing of a group of 15-16-year old tennis players (n = 203, age M +/- SD = 15.97 +/- 0.57 years, height M +/- SD = 181.9 +/- 6.8 cm, weight M +/- SD = 71.6 +/- 8.6 kg) who took part in regular testing conducted by the Czech Tennis Association in the years 2000-2018 using the TENDIAG1 test battery. STATISTICA 12 software was used for the analysis of data using a probability approach. FuzzME software was used for analysis using of a fuzzy approach. The level of agreement of the results (the Pearson correlation coefficient) obtained by the two approaches (the discrete and the fuzzy approaches) was high both from the effect size (ES, large) and statistical significance points of view (r = 0.89, p = 0.05). The evaluation of the effect size (ES) of the differences between the mean values of the results obtained by the two approaches using the Cohen's d did not demonstrate any substantively significant difference (d = 0.16). For a more detailed analysis, two subsets were selected from the original group of tennis players. They consisted of players with an overall evaluation (probability approach) of 4-5 points and 8-9 points, respectively. The level of agreement between the results in the subgroup with the evaluation 4-5 points was low from both the effect size (ES, small) and statistical significance points of view (r = 0.15, p = 0.05), while the agreement in the subgroup with the evaluation of 8-9 points was at a medium level in terms of the effect size (ES, medium) and statistically insignificant (r = 0.47, p = 0.05). The effect size (ES) assessment of the differences between mean values of the results obtained by the two approaches did not demonstrate any effect (d = 0.12) in the group with the overall score of 4-5 points, and a large effect (d = 0.89, large) in the group with an overall score of 8-9 points. Despite the similarity of the results obtained by the probability and fuzzy methods, it was shown that the fuzzy approach enables a finer differentiation of the level of fitness prerequisites in players on the evaluation boundaries. Since that the results for individual items in the TENDIAG1 test battery indicate the level of individual performance prerequisites, the use of different weighting criteria may be considered for future evaluation using the fuzzy approach. For this approach, the use of the point method, a paired comparison method or the Saaty method can be considered for the identification and calculation of individual subtests weighting.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

30306 - Sport and fitness sciences

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

12TH INTERNATIONAL CONFERENCE ON KINANTHROPOLOGY: SPORT AND QUALITY OF LIFE

ISBN

9788021096318

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

42-49

Název nakladatele

MASARYK UNIVERSITY-UNIVERSITY PRESS

Místo vydání

BRNO

Místo konání akce

Brno, CZECH REPUBLIC

Datum konání akce

7. 11. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000618047200005