Evaluation of influencing factors of China university teaching quality based on fuzzy logic and deep learning technology DOI Creative Commons
Jie Yu

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(9), P. e0303613 - e0303613

Published: Sept. 6, 2024

Nowadays, colleges and universities focus on the assessment model for considering educational offers, suitable environments, circumstances students’ growth, as well influence of Teaching Quality (TQ) applicability skills promoted by teaching to life. excellence is an important evaluation metric at university level, but it challenging determine accurately due its wide range influencing factors. Fuzzy Deep Learning (DL) approaches must be could build that can precisely measure qualities enhance accuracy. Combining fuzzy logic DL provide a powerful approach assessing factors college effects implementing Sequential Intuitionistic (SIF) assisted Long Short-Term Memory (LSTM) proposed. used sets assess affect quality methods raise standard education. LSTM create predictive pinpoint primary forecast outcomes in future using those academic growth. The enhancement SIF-LSTM proved accuracy 98.4%, Mean Square Error (MSE) 0.028%, Tucker Lewis Index (TLI) all entropy non-membership membership degree correlation related various dimensional measures. effectiveness proposed validated data sources with set 60+ teachers’ open-ended questionnaire surveys from university.

Language: Английский

Enhanced LogTODIM-TOPSIS framework for interval-valued intuitionistic fuzzy MAGDM and applications to intangible assets operational management performance evaluation of commercial sporting events DOI Creative Commons
Ke Xu,

Kyung-Hwan Choi,

Fengshuo Rao

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(4), P. e26311 - e26311

Published: Feb. 1, 2024

The effective operation of intangible assets in commercial sports events can bring long-term, sustainable, and large-scale economic benefits to events. However, currently, the events, lack experience hosting often hinders development that should have created higher profits, cannot achieve expected value. operational management performance (IAOMP) evaluation sporting is multiple-attribute group decision-making (MAGDM). Logarithmic TODIM (LogTODIM) TOPSIS technique was brought forward MAGDM. interval-valued intuitionistic fuzzy sets (IVIFSs) are as useful for coping with uncertain information during IAOMP In this study, number TODIM-TOPSIS (IVIFN-LogTODIM-TOPSIS) MAGDM under IVIFSs circumstances. Finally, numerical example verify IVIFN-LogTODIM-TOPSIS technique. main contribution study forward: (1) LogTODIM-TOPSIS extended light MEREC model; (2) model derive weight score values (3) circumstances; (4) several different comparative analysis model.

Language: Английский

Citations

7
Solution Strategy and Associated Results for Fuzzy Mellin Transformation DOI Creative Commons
Payal Singh, Kamal Hossain Gazi, Mostafijur Rahaman

et al.

Franklin Open, Journal Year: 2024, Volume and Issue: 7, P. 100112 - 100112

Published: May 27, 2024

The advancement of the Mellin transformation is that it exhibits a scale-invariant nature, and thus, widely used in computer science. Fuzzy can provide purposes such problems uncertain phenomena. existing studies on fuzzy consider level cut approach, which makes valued functions into their crisp couplets regarding lower uppercuts. This paper reconstructs distinct mathematical frame for completely environment sense modified Hukuhara derivative. In this paper, we mean complete to describe phenomena where conversion function its counterpart annulled. proposed transformation's superiority over approaches be directly without converting them counter version. challenges dealing with mappings inputs representation have been tackled manuscript. Furthermore, numerical examples, possible applications, further extensions work are hinted at paper.

Language: Английский

Citations

6
Research on fresh supply chain risk evaluation of community group purchase based on hybrid multi-attribute decision-making method DOI
Nian Zhang, Anling Wang, Yifan Zhou

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 143, P. 110065 - 110065

Published: Jan. 18, 2025

Language: Английский

Citations

0
Fuzzy Logic and Applications in Education and Games: Theory, Practical Implementations and a Literature Review DOI
Spyros Papadimitriou, Maria Virvou

Intelligent systems reference library, Journal Year: 2025, Volume and Issue: unknown, P. 95 - 127

Published: Jan. 1, 2025

Language: Английский

Citations

0
TODIM–VIKOR framework for development potential evaluation of forest health tourism based on the single-valued neutrosophic number multiple attribute group decision making DOI

Man Qiao

Soft Computing, Journal Year: 2024, Volume and Issue: 28(13-14), P. 8065 - 8076

Published: July 1, 2024

Language: Английский

Citations

2
A multi-criteria decision-making method based on discrete Z-numbers and Aczel-Alsina aggregation operators and its application on early diagnosis of depression DOI
Dong Ren, Xiuqin Ma, Hongwu Qin

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 139, P. 109484 - 109484

Published: Oct. 24, 2024

Language: Английский

Citations

2
INN-LogTODIM-GRA Framework for Service Quality Evaluation of International Logistics Enterprises From the Perspective of Cross Border E-Commerce Supply Chain DOI Creative Commons
Huan Zhang,

Zimeng Zhu,

Jing Wu

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 133372 - 133385

Published: Jan. 1, 2023

In the process of cross-border e-commerce (CBEC) development, CBEC logistics plays a crucial role as booster. However, numerous problems exposed in China's have to some extent limited development CBEC. Further research on will guide healthy platforms. The service quality evaluation international enterprises from perspective supply chain is multiple-attribute group decision-making (MAGDM) issue. Recently, Logarithmic TODIM (LogTODIM) and grey relational analysis (GRA) technique has been employed come up with MAGDM issues. interval neutrosophic sets (INSs) are tool for portraying uncertain decision information during chain. this paper, number TODIM-GRA (INN-LogTODIM-GRA) managed under INSs. Finally, numerical example study validate proposed technique. main contribution paper managed:(1) entropy constructed obtain weight values INSs; (2) an integrated INN-LogTODIM-GRA manage issue; (3) An illustrative EBEC accomplished verify

Language: Английский

Citations

3
Extended technique for interval-valued intuitionistic fuzzy MAGDM and applications to performance evaluation of intangible assets operation and management in sports events DOI

Xiaofan Hao

Journal of Intelligent & Fuzzy Systems, Journal Year: 2023, Volume and Issue: 46(1), P. 879 - 890

Published: Nov. 17, 2023

From a management perspective, performance is the desired outcome of an organization, and it effective output that organization exhibits at different levels to achieve its goals. Sports event refers results effects generated by sports events, comprehensive assessment category in management. It not only concept economic level, but also public satisfaction events series social caemployed them. focuses on quality value themselves, achievements society, citizens, environment. The evaluation intangible assets operation (IAOM) MAGDM. Recently, TODIM TOPSIS technique has been employed manage interval-valued intuitionistic fuzzy sets (IVIFSs) are as useful tool for depicting uncertain information during IAOM events. In this paper, TODIM-TOPSIS (IVIF-TODIM-TOPSIS) built MAGDM under IVIFSs. At last, numerical example show IVIF-TODIM-TOPSIS decision technique. main contribution paper outlined: (1) based extended IVIFSs Entropy; (2) Entropy derive weight core values (3) founded IVIFSs; (4) case study some comparative analysis supplied validate proposed

Language: Английский

Citations

2
Perceived bidirectional coordination on disaster-induced health-related efforts among decision-making units DOI
Samantha Shane Evangelista, Charldy Wenceslao, Rica Villarosa

et al.

Socio-Economic Planning Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 102148 - 102148

Published: Dec. 1, 2024

Language: Английский

Citations

0
Evaluation of influencing factors of China university teaching quality based on fuzzy logic and deep learning technology DOI Creative Commons
Jie Yu

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(9), P. e0303613 - e0303613

Published: Sept. 6, 2024

Nowadays, colleges and universities focus on the assessment model for considering educational offers, suitable environments, circumstances students’ growth, as well influence of Teaching Quality (TQ) applicability skills promoted by teaching to life. excellence is an important evaluation metric at university level, but it challenging determine accurately due its wide range influencing factors. Fuzzy Deep Learning (DL) approaches must be could build that can precisely measure qualities enhance accuracy. Combining fuzzy logic DL provide a powerful approach assessing factors college effects implementing Sequential Intuitionistic (SIF) assisted Long Short-Term Memory (LSTM) proposed. used sets assess affect quality methods raise standard education. LSTM create predictive pinpoint primary forecast outcomes in future using those academic growth. The enhancement SIF-LSTM proved accuracy 98.4%, Mean Square Error (MSE) 0.028%, Tucker Lewis Index (TLI) all entropy non-membership membership degree correlation related various dimensional measures. effectiveness proposed validated data sources with set 60+ teachers’ open-ended questionnaire surveys from university.

Language: Английский

Citations

0