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基于模糊层次分析法的在线教育人体工效学相关疾病评估

Evaluation of Ergonomics-Related Disorders in Online Education Using Fuzzy AHP.

机构信息

BMIET, Sonepat, India.

IMS Engineering College, Ghaziabad, India.

出版信息

Comput Intell Neurosci. 2021 Sep 27;2021:2214971. doi: 10.1155/2021/2214971. eCollection 2021.

DOI:10.1155/2021/2214971
PMID:34616442
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8490033/
Abstract

The aim of the presented work is to analyze the ergonomics-related disorders in online education using the fuzzy AHP approach. A group dialogue with online education academicians, online education students, biotechnologists, and sedentary computer users has been performed to spot ergonomics-related disorders in online education. Totally eight ergonomics-related disorders in online education have been identified, and the weight of each disorder has been computed with triangle-shaped fuzzy numbers in pairwise comparison. Furthermore, the ergonomics-related disorders in online education are kept in four major categories such as afflictive disorders, specific disorders, psychosocial disorders, and chronic disorders. These four categories of ergonomics-related disorders in online education are evaluated and compared using fuzzy analytical hierarchical process methodology to get ranked in terms of priorities. The results may be instrumental for taking appropriate corrective actions to prevent ergonomics-related disorders.

摘要

本研究旨在利用模糊层次分析法（AHP）分析在线教育中的与工效学相关的障碍。通过与在线教育学者、在线教育学生、生物技术人员和久坐电脑使用者进行小组讨论，发现了在线教育中的与工效学相关的障碍。总共确定了在线教育中的八项与工效学相关的障碍，并使用三角模糊数进行两两比较计算了每个障碍的权重。此外，在线教育中的与工效学相关的障碍分为四类：痛苦障碍、特定障碍、社会心理障碍和慢性障碍。使用模糊分析层次过程方法对这四类在线教育中的与工效学相关的障碍进行评估和比较，以确定其优先级。这些结果有助于采取适当的纠正措施来预防与工效学相关的障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/b4eddbe5b9ed/CIN2021-2214971.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/a9644954a235/CIN2021-2214971.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/ccb72235a95a/CIN2021-2214971.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/1f1399f97db5/CIN2021-2214971.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/e298a411e4a4/CIN2021-2214971.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/73a1e79746a8/CIN2021-2214971.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/9385d74b6c1f/CIN2021-2214971.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/b4eddbe5b9ed/CIN2021-2214971.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/a9644954a235/CIN2021-2214971.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/ccb72235a95a/CIN2021-2214971.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/1f1399f97db5/CIN2021-2214971.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/e298a411e4a4/CIN2021-2214971.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/73a1e79746a8/CIN2021-2214971.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/9385d74b6c1f/CIN2021-2214971.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/8490033/b4eddbe5b9ed/CIN2021-2214971.007.jpg

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