标准间分析和聚类方法在倦怠数据集上的应用

Notes on Intuitionistic Fuzzy Sets Pub Date : 2022-09-08 DOI:10.7546/nifs.2022.28.3.353-360

S. Sotirov, Valentin Stoyanov, M. Krawczak, E. Sotirova, S. Ribagin

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引用次数: 0

摘要

本调查对医务人员的职业倦怠水平进行了分析。Тhe采用标准间分析(ICA)方法，对6家医疗中心139名医务人员的不同参数特征进行相关性分析。目的是通过编制一份调查表进行调查，分析各项健康指标之间的相关性。从标准间分析中获得的数据使用自适应神经网络聚类。

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An application of the InterCriteria Analysis and clusterization approach over a burnout dataset

In this investigation the level of burnout among the medical employees was analyzed. Тhe InterCriteria Analysis (ICA) approach is used to find the dependences between different parameters characterizing the 139 medical employees from 6 medical centers. The aim is to analyze the correlations between the health indicators, by surveying with a developed questionnaire. The obtained data from the InterCriteria Analysis were clustered using an adaptive neural network.

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Notes on Intuitionistic Fuzzy Sets

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