Chemical Engineering Science, Год журнала: 2024, Номер unknown, С. 120840 - 120840
Опубликована: Окт. 1, 2024
Язык: Английский
Chemical Engineering Science, Год журнала: 2024, Номер unknown, С. 120840 - 120840
Опубликована: Окт. 1, 2024
Язык: Английский
Applied Soft Computing, Год журнала: 2025, Номер unknown, С. 112918 - 112918
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
5Information Sciences, Год журнала: 2023, Номер 658, С. 120016 - 120016
Опубликована: Дек. 19, 2023
Язык: Английский
Процитировано
35Journal of Intelligent & Fuzzy Systems, Год журнала: 2024, Номер unknown, С. 1 - 19
Опубликована: Апрель 4, 2024
As an emerging concept in knowledge management (KM), green plays a crucial role the sustainable development of enterprises. A reasonable assessment enterprise’s capabilities can help company effectively manage embedded within its operational processes, thereby achieving self-reinforcement competitive advantages for enterprise. Therefore, this paper proposes multi-criteria classification method based on interval-valued intuitionistic fuzzy entropy weight method-TOPSIS-Sort-B (EWM-TOPSIS-Sort-B) to assess In method, expert assessments are expressed using sets. new is introduced into TOPSIS-Sort-B determine weights various evaluation indicators, and employed classify rate each scheme. It worth noting that has improved by not converting sets precise values throughout entire process, thus avoiding information loss. Finally, we applied case capability validate proposed conducted sensitivity analysis comparative approach. The results indicate variations parameter ϑ aggregation operator lead changes criterion comprehensive matrix, resulting unordered final results. Due absence transformation interval study, compared four methods TOPSISort-L, more detailed, levels pronounced.
Язык: Английский
Процитировано
5Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 139, С. 109671 - 109671
Опубликована: Ноя. 21, 2024
Язык: Английский
Процитировано
5Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108164 - 108164
Опубликована: Март 15, 2024
Язык: Английский
Процитировано
4Reliability Engineering & System Safety, Год журнала: 2025, Номер unknown, С. 110981 - 110981
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Information Sciences, Год журнала: 2024, Номер 673, С. 120706 - 120706
Опубликована: Май 8, 2024
Язык: Английский
Процитировано
0Journal of Information and Communication Technology, Год журнала: 2024, Номер 23(3), С. 523 - 559
Опубликована: Июль 28, 2024
The fuzzy C-ordered-means clustering (FCOM) is a algorithm that enhances robustness and accuracy through the ordered mechanism based on C-means (FCM). However, despite these improvements, FCOM algorithm’s effectiveness remains unsatisfactory due to significant time cost incurred by its operation. To address this problem, an investigation was conducted weighted model of leading proposed enhancements introducing beta distribution (BDFCOM). BDFCOM utilises properties Beta weight sample features, thus not only circumventing problem traditional but also reducing influence noise. Experiments were six UCI datasets validate BDFCOM, comparing performance against seven other algorithms using evaluation indices. results show compared average algorithms, improves about 15 percent F1-score, 11 Rand Index, 13 Adjusted 3 Fowlkes-Mallows Index 16 Jaccard Index. For two FCM consumption reduced 90.15 average. algorithm, which designs new way feature weighting for mechanisms, advances field mechanisms.And, paper provides method in application where there lot noise dataset.
Язык: Английский
Процитировано
0Chemical Engineering Science, Год журнала: 2024, Номер unknown, С. 120840 - 120840
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
0