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

D 2020

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

ZDERČÍK, Antonín, Jiří NYKODÝM, Jana TALAŠOVÁ, Pavel HOLEČEK, Michal BOZDĚCH et. al.

Basic information

Original name

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

Authors

ZDERČÍK, Antonín (203 Czech Republic, guarantor, belonging to the institution), Jiří NYKODÝM (203 Czech Republic, belonging to the institution), Jana TALAŠOVÁ (203 Czech Republic), Pavel HOLEČEK (203 Czech Republic) and Michal BOZDĚCH (203 Czech Republic, belonging to the institution)

Edition

BRNO, 12TH INTERNATIONAL CONFERENCE ON KINANTHROPOLOGY: SPORT AND QUALITY OF LIFE, p. 42-49, 8 pp. 2020

Publisher

MASARYK UNIVERSITY-UNIVERSITY PRESS

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

30306 Sport and fitness sciences

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/00216224:14510/20:00118392

Organization unit

Faculty of Sports Studies

ISBN

978-80-210-9631-8

UT WoS

000618047200005

Keywords in English

diagnostics; fuzzy logic; FuzzME; probability approach; TENDIAG1 test battery

Abstract

V originále

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.

Links

MUNI/51/04/2019, interní kód MU

Name: Diagnostika úrovně věkových, somatických, motorických a genderových faktorů sportovního výkonu v kontextu vlivu laterálních asymetrií

Investor: Masaryk University

Citovat

ZDERČÍK, Antonín, Jiří NYKODÝM, Jana TALAŠOVÁ, Pavel HOLEČEK and Michal BOZDĚCH. THE APPLICATION OF FUZZY LOGIC IN THE DIAGNOSTICS OF PERFORMANCE PRECONDITIONS IN TENNIS. Online. In Cacek, J Sajdlova, Z Simkova, K. 12TH INTERNATIONAL CONFERENCE ON KINANTHROPOLOGY: SPORT AND QUALITY OF LIFE. BRNO: MASARYK UNIVERSITY-UNIVERSITY PRESS, 2020, p. 42-49. ISBN 978-80-210-9631-8.

@inproceedings{1752697,
   author = {Zderčík, Antonín and Nykodým, Jiří and Talašová, Jana and Holeček, Pavel and Bozděch, Michal},
   address = {BRNO},
   booktitle = {12TH INTERNATIONAL CONFERENCE ON KINANTHROPOLOGY: SPORT AND QUALITY OF LIFE},
   editor = {Cacek, J Sajdlova, Z Simkova, K},
   keywords = {diagnostics; fuzzy logic; FuzzME; probability approach; TENDIAG1 test battery},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {BRNO},
   isbn = {978-80-210-9631-8},
   pages = {42-49},
   publisher = {MASARYK UNIVERSITY-UNIVERSITY PRESS},
   title = {THE APPLICATION OF FUZZY LOGIC IN THE DIAGNOSTICS OF PERFORMANCE PRECONDITIONS IN TENNIS},
   url = {https://conference.fsps.muni.cz/media/3264994/zbornik-doi-full.pdf},
   year = {2020}
}

TY  - JOUR
ID  - 1752697
AU  - Zderčík, Antonín - Nykodým, Jiří - Talašová, Jana - Holeček, Pavel - Bozděch, Michal
PY  - 2020
TI  - THE APPLICATION OF FUZZY LOGIC IN THE DIAGNOSTICS OF PERFORMANCE PRECONDITIONS IN TENNIS
PB  - MASARYK UNIVERSITY-UNIVERSITY PRESS
CY  - BRNO
SN  - 9788021096318
KW  - diagnostics
KW  - fuzzy logic
KW  - FuzzME
KW  - probability approach
KW  - TENDIAG1 test battery
UR  - https://conference.fsps.muni.cz/media/3264994/zbornik-doi-full.pdf
N2  - 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.
ER  -

ZDERČÍK, Antonín, Jiří NYKODÝM, Jana TALAŠOVÁ, Pavel HOLEČEK and Michal BOZDĚCH. THE APPLICATION OF FUZZY LOGIC IN THE DIAGNOSTICS OF PERFORMANCE PRECONDITIONS IN TENNIS. Online. In Cacek, J Sajdlova, Z Simkova, K. \textit{12TH INTERNATIONAL CONFERENCE ON KINANTHROPOLOGY: SPORT AND QUALITY OF LIFE}. BRNO: MASARYK UNIVERSITY-UNIVERSITY PRESS, 2020, p.~42-49. ISBN~978-80-210-9631-8.

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