Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network

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.

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Publication Details

Journal
PLoS ONE
Published
2025-02-10
DOI
https://doi.org/10.1371/journal.pone.0313608
Primary Topic
Advanced Technologies in Various Fields
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network

Jia Wen, Peiyi Zeng
PLoS ONE
Advanced Technologies in Various Fields
article

Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network

Jia Wen, Peiyi Zeng
article en

Abstract

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.

PLoS ONEVol. 20(2)
Yibin University (CN)
Openalex Percentile: Top 99%
Advanced Technologies in Various Fields
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