利用多源性单值模糊集分析COVID-19大流行期间学龄儿童肥胖情况

Neutrosophic Systems with Applications Pub Date : 2023-09-08 DOI:10.61356/j.nswa.2023.51

S.P.Priyadharshini, F. Nirmala Irudayam

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摘要

本研究的目的是检验这样一种看法，即在2019年冠状病毒流行期间，肥胖学龄儿童被排除在有组织的学习成绩之外，并被限制在家中，将会对健康行为产生负面影响。为了实现这一目标，引入了上生单值模糊集(PSFS)的概念及其聚合算子。在此基础上，结合实例分析了该理论的实用性和准确性。

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An Analysis of Obesity in School Children during the Pandemic COVID-19 Using Plithogenic Single Valued Fuzzy Sets

The objective of this research is to examine the perception that school children with obesity, when excluded from organized academic performance and constrained to their residences during the coronavirus epidemic 2019, will reveal negative consequences in health behaviors. To meet the objective, the concept of Plithogenic Single valued fuzzy sets (PSFS) and their aggregation operators were introduced. Based on the proposed theory, an analysis is presented with the case study to highlight its practicality and preciseness.

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Neutrosophic Systems with Applications

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