Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network.
<h4>Introduction</h4>This study aims to enhance educational quality and academic standards by proposing a model based on critical research ability indicators to objectively evaluate the sustainable scientific research capabilities of university teachers.<h4>Methods</h4>Using...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0313608 |
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| _version_ | 1850040443355529216 |
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| author | Jia Wen Pinhong Zeng |
| author_facet | Jia Wen Pinhong Zeng |
| author_sort | Jia Wen |
| collection | DOAJ |
| description | <h4>Introduction</h4>This study aims to enhance educational quality and academic standards by proposing a model based on critical research ability indicators to objectively evaluate the sustainable scientific research capabilities of university teachers.<h4>Methods</h4>Using T-S fuzzy neural network technology, we developed an evaluation model to measure the sustainability of university teachers' research capabilities. We collected data from 126 university teachers, using 90 samples for training and 36 for testing, to ascertain the model's applicability and accuracy.<h4>Results</h4>The T-S fuzzy neural network showcased exceptional learning efficiency and achieved a 98.15% accuracy rate in assessing the sustainable scientific research capabilities of university teachers, outperforming both Naive Bayes and BP neural networks in effectiveness.<h4>Conclusion</h4>The research successfully constructs a T-S fuzzy neural network-based evaluation model for assessing the sustainable scientific research capabilities of university teachers. With high accuracy and broad applicability, this model is an effective tool for objectively evaluating university teachers' research capabilities, clearly achieving the study's objective. |
| format | Article |
| id | doaj-art-a8625352411d494ba2300372bcc8b082 |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-a8625352411d494ba2300372bcc8b0822025-08-20T02:56:06ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01202e031360810.1371/journal.pone.0313608Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network.Jia WenPinhong Zeng<h4>Introduction</h4>This study aims to enhance educational quality and academic standards by proposing a model based on critical research ability indicators to objectively evaluate the sustainable scientific research capabilities of university teachers.<h4>Methods</h4>Using T-S fuzzy neural network technology, we developed an evaluation model to measure the sustainability of university teachers' research capabilities. We collected data from 126 university teachers, using 90 samples for training and 36 for testing, to ascertain the model's applicability and accuracy.<h4>Results</h4>The T-S fuzzy neural network showcased exceptional learning efficiency and achieved a 98.15% accuracy rate in assessing the sustainable scientific research capabilities of university teachers, outperforming both Naive Bayes and BP neural networks in effectiveness.<h4>Conclusion</h4>The research successfully constructs a T-S fuzzy neural network-based evaluation model for assessing the sustainable scientific research capabilities of university teachers. With high accuracy and broad applicability, this model is an effective tool for objectively evaluating university teachers' research capabilities, clearly achieving the study's objective.https://doi.org/10.1371/journal.pone.0313608 |
| spellingShingle | Jia Wen Pinhong Zeng Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network. PLoS ONE |
| title | Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network. |
| title_full | Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network. |
| title_fullStr | Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network. |
| title_full_unstemmed | Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network. |
| title_short | Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network. |
| title_sort | research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the t s fuzzy neural network |
| url | https://doi.org/10.1371/journal.pone.0313608 |
| work_keys_str_mv | AT jiawen researchontheconstructionofasustainablescientificresearchcapabilityevaluationmodelforuniversityteachersbasedonthetsfuzzyneuralnetwork AT pinhongzeng researchontheconstructionofasustainablescientificresearchcapabilityevaluationmodelforuniversityteachersbasedonthetsfuzzyneuralnetwork |