A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis

In this paper, we use variable prediction to assess mental health using a spurious nearest neighbor point algorithm to reconstruct mental trajectories, extract group feature vectors and map them into a high-dimensional spatial structure. The standard deviation of Gaussian function centroids is deriv...

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Main Author: Zhang Bo
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2023.2.00562
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author Zhang Bo
author_facet Zhang Bo
author_sort Zhang Bo
collection DOAJ
description In this paper, we use variable prediction to assess mental health using a spurious nearest neighbor point algorithm to reconstruct mental trajectories, extract group feature vectors and map them into a high-dimensional spatial structure. The standard deviation of Gaussian function centroids is derived by combining the radial basis network input implicit layer node parameters. The hierarchical analysis method was used to split the psychological data, and the Lagrange multiplier method was used to reconstruct the psychological space, and it was found that the overall work stress index of women was 78.97 points, and there was no significant difference in the factors of the symptom self-rating scale. It is suggested that enterprises should offer psychological counseling courses, equip professional psychological counselors, scientifically guide employees’ psychological states, and create a gender-equal corporate culture atmosphere.
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spelling doaj.art-1ba60b6c5dfc4305851f966de8a335f82024-01-29T08:52:34ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00562A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysisZhang Bo01School of Management, Department of Business Administration, Hubei Business College, Wuhan, Hubei, 430000, China.In this paper, we use variable prediction to assess mental health using a spurious nearest neighbor point algorithm to reconstruct mental trajectories, extract group feature vectors and map them into a high-dimensional spatial structure. The standard deviation of Gaussian function centroids is derived by combining the radial basis network input implicit layer node parameters. The hierarchical analysis method was used to split the psychological data, and the Lagrange multiplier method was used to reconstruct the psychological space, and it was found that the overall work stress index of women was 78.97 points, and there was no significant difference in the factors of the symptom self-rating scale. It is suggested that enterprises should offer psychological counseling courses, equip professional psychological counselors, scientifically guide employees’ psychological states, and create a gender-equal corporate culture atmosphere.https://doi.org/10.2478/amns.2023.2.00562variable prediction evaluationfalse nearest neighborhierarchical analysisgaussian functionlagrange multiplier97m80
spellingShingle Zhang Bo
A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis
Applied Mathematics and Nonlinear Sciences
variable prediction evaluation
false nearest neighbor
hierarchical analysis
gaussian function
lagrange multiplier
97m80
title A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis
title_full A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis
title_fullStr A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis
title_full_unstemmed A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis
title_short A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis
title_sort study on the psychological relief path of gender stress in women s workplace based on hierarchical analysis
topic variable prediction evaluation
false nearest neighbor
hierarchical analysis
gaussian function
lagrange multiplier
97m80
url https://doi.org/10.2478/amns.2023.2.00562
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AT zhangbo studyonthepsychologicalreliefpathofgenderstressinwomensworkplacebasedonhierarchicalanalysis