Anti-containment and α-anti-containment neighborhoods-based neighborhood rough sets and their classification models in medical application for infectious diseases DOI
Xia Liu, Xianyong Zhang, Benwei Chen

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127892 - 127892

Published: May 1, 2025

Language: Английский

The Role of Interaction Design Based on Fuzzy Decision Support System in Improving User Experience DOI
Jian Li, Bin Zhang

International Journal of Fuzzy Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Language: Английский

Citations

0

Multi-label feature selection with high-level semantic label relationships based on fuzzy rough sets DOI

Chen Liangzhou,

Mingjie Cai, Qingguo Li

et al.

Fuzzy Sets and Systems, Journal Year: 2025, Volume and Issue: unknown, P. 109368 - 109368

Published: March 1, 2025

Language: Английский

Citations

0

Malicious encrypted traffic detection method based on multi-granularity representation under data imbalance conditions DOI
Tao Li, Zhiwei Yang, Wenshan Li

et al.

Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: unknown, P. 113320 - 113320

Published: March 1, 2025

Language: Английский

Citations

0

Enhanced framework embedded with data transformation and multi-objective feature selection algorithm for forecasting wind power DOI Creative Commons
Yahya Z. Alharthi, Haruna Chiroma, Lubna Abdelkareim Gabralla

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 8, 2025

The increasing global interest in utilizing wind turbines for power generation emphasizes the importance of accurate forecasting managing power. This paper proposed a framework that integrates data transformation mechanism with multi-objective none-dominated sorting genetic algorithm III (NSGA-III), coupled hybrid deep Recurrent Network (DRN) and Long Short-Term Memory (LSTM) architecture modeling feature selection algorithm, NSGA-III, identifies optimal subset features from energy datasets. These selected undergo process before being input into DRN-LSTM forecasting. A comparative study demonstrates proposal's superior effectiveness robustness compared to existing frameworks proposal achieving 2.6593e-10 1.630e-05 terms MSE RMSE respectively whereas classical recorded 8.8814e-07 9.424e-04. study's contributions lie its approach integration notable enhancements accuracy. Furthermore, offers valuable insights guide research efforts future.

Language: Английский

Citations

0

Anti-containment and α-anti-containment neighborhoods-based neighborhood rough sets and their classification models in medical application for infectious diseases DOI
Xia Liu, Xianyong Zhang, Benwei Chen

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127892 - 127892

Published: May 1, 2025

Language: Английский

Citations

0