DOI: https://doi.org/10.31071/kit2021.17.11

Inventory reference

ISSN 1812-7231(print), ISSN 2786-5800 (Online) Klin. inform. telemed. Volume 16, Issue 17, 2021, Pages 118-126

Author(s)

Zh. V. Sotnikova-Meleshkina, O. V. Martynenko

Institution(s)

V. N. Karazin Kharkiv National University, Ukraine

Article title

Fuzzy logic for assessing and predicting the level of physical development of schoolchildren

Abstract (resume)

Introduction. It is considered relevant and important to incorporate the current normative indicators of physical development of school-age children into a single methodology that allows to assess integrally each one of them, the results as a whole, and to monitor individual dynamics of development of a child.

Goal. To use the method of fuzzy logic for assessment of physical development of schoolchildren, as well as for prediction of its level and dynamic changes.

Materials and methods. The longitudinal study involved 1302 children of primary school-age (aged 7 to 10 years, including 704 boys and 598 girls). The study of physical development was conducted on the indicators of body weight, length, and chest circumference, followed by evaluation on regression scales. Individual degree of belonging of specific criteria of physical development and the entire set of indicators as a whole was determined by the mathematical model of fuzzy logical judgment about the state of physical development of a child.

Results. Based on randomly selected records of observations of physical development of school-age children during the calendar year, the proposed algorithm and interpretation of the results of fuzzy logic were demonstrated in practice. It has been established that with harmonious physical development and normative (within ± 1σ) indicators of body length, weight, chest circumference on regression scales, analysis of fuzzy logic validated the statements about these parameters by 21–76%, 57–95%, and 20–44% respectively. Based on their separate and integrated analysis, recommendations have been provided for optimizing the level of physical activity and nutrition as the main controlled factors.

Conclusions. The use of fuzzy logic allows identifying the degree of compliance with the criteria of physical development and the direction of their dynamic changes, and this information can then be used as a criterion for the effectiveness of corrective measures to harmonize the child’s physique and prevent obesity.

Keywords

Fuzzy logic; Physical development; Schoolchildren; Primary school pupils.

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