An efficient Model for Satisfaction Evaluation of College Students' Online Ideological and Political Education with Single-Valued Neutrosophic Numbers

Under the background of big data, the evaluation of college students' satisfaction with online ideological and political education (IAPE) is primarily achieved through data mining and analysis techniques, allowing for a more comprehensive and accurate reflection of students' attitudes and...

Full description

Saved in:
Bibliographic Details
Main Author: Kelei Shi
Format: Article
Language:English
Published: University of New Mexico 2025-02-01
Series:Neutrosophic Sets and Systems
Subjects:
Online Access:https://fs.unm.edu/NSS/SatisfactionEvaluation23.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849233952660783104
author Kelei Shi
author_facet Kelei Shi
author_sort Kelei Shi
collection DOAJ
description Under the background of big data, the evaluation of college students' satisfaction with online ideological and political education (IAPE) is primarily achieved through data mining and analysis techniques, allowing for a more comprehensive and accurate reflection of students' attitudes and feedback. By collecting data through online surveys, social media interactions, and other channels, educators can adjust the content and methods of teaching in real-time to better meet students' needs and improve the effectiveness and satisfaction of IAPE. The satisfaction evaluation of college students' online IAPE in the context of big data is a multi attribute group decision-making (MAGDM) problem. Recently, VIKOR method have been applied to address MAGDM challenges. Single-valued neutrosophic sets (SVNSs) are employed as a tool to represent uncertain data in the satisfaction evaluation of college students' online IAPE within the big data context. In this paper, we propose the single-valued neutrosophic number VIKOR (SVNN-VIKOR) method to solve MAGDM problems under SVNSs. Finally, a numerical case study is presented to validate the effectiveness of the proposed method in evaluating the satisfaction of college students' online IAPE in the context of big data.
format Article
id doaj-art-e972df6ca4e545a7a8e0091d4c7e69ef
institution Kabale University
issn 2331-6055
2331-608X
language English
publishDate 2025-02-01
publisher University of New Mexico
record_format Article
series Neutrosophic Sets and Systems
spelling doaj-art-e972df6ca4e545a7a8e0091d4c7e69ef2025-08-20T04:03:18ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2025-02-017643044810.5281/zenodo.14010259An efficient Model for Satisfaction Evaluation of College Students' Online Ideological and Political Education with Single-Valued Neutrosophic NumbersKelei ShiUnder the background of big data, the evaluation of college students' satisfaction with online ideological and political education (IAPE) is primarily achieved through data mining and analysis techniques, allowing for a more comprehensive and accurate reflection of students' attitudes and feedback. By collecting data through online surveys, social media interactions, and other channels, educators can adjust the content and methods of teaching in real-time to better meet students' needs and improve the effectiveness and satisfaction of IAPE. The satisfaction evaluation of college students' online IAPE in the context of big data is a multi attribute group decision-making (MAGDM) problem. Recently, VIKOR method have been applied to address MAGDM challenges. Single-valued neutrosophic sets (SVNSs) are employed as a tool to represent uncertain data in the satisfaction evaluation of college students' online IAPE within the big data context. In this paper, we propose the single-valued neutrosophic number VIKOR (SVNN-VIKOR) method to solve MAGDM problems under SVNSs. Finally, a numerical case study is presented to validate the effectiveness of the proposed method in evaluating the satisfaction of college students' online IAPE in the context of big data.https://fs.unm.edu/NSS/SatisfactionEvaluation23.pdfmagdmsvnssinformation entropyvikor approachsatisfaction of college students' online iape
spellingShingle Kelei Shi
An efficient Model for Satisfaction Evaluation of College Students' Online Ideological and Political Education with Single-Valued Neutrosophic Numbers
Neutrosophic Sets and Systems
magdm
svnss
information entropy
vikor approach
satisfaction of college students' online iape
title An efficient Model for Satisfaction Evaluation of College Students' Online Ideological and Political Education with Single-Valued Neutrosophic Numbers
title_full An efficient Model for Satisfaction Evaluation of College Students' Online Ideological and Political Education with Single-Valued Neutrosophic Numbers
title_fullStr An efficient Model for Satisfaction Evaluation of College Students' Online Ideological and Political Education with Single-Valued Neutrosophic Numbers
title_full_unstemmed An efficient Model for Satisfaction Evaluation of College Students' Online Ideological and Political Education with Single-Valued Neutrosophic Numbers
title_short An efficient Model for Satisfaction Evaluation of College Students' Online Ideological and Political Education with Single-Valued Neutrosophic Numbers
title_sort efficient model for satisfaction evaluation of college students online ideological and political education with single valued neutrosophic numbers
topic magdm
svnss
information entropy
vikor approach
satisfaction of college students' online iape
url https://fs.unm.edu/NSS/SatisfactionEvaluation23.pdf
work_keys_str_mv AT keleishi anefficientmodelforsatisfactionevaluationofcollegestudentsonlineideologicalandpoliticaleducationwithsinglevaluedneutrosophicnumbers
AT keleishi efficientmodelforsatisfactionevaluationofcollegestudentsonlineideologicalandpoliticaleducationwithsinglevaluedneutrosophicnumbers