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| Özet |
| Fuzzy cognitive maps treat the components of a problem or system expressed as fuzzy concepts and model the system with the relationships between these concepts. We predicted that FCM' s approach to calculating with these relationships could perform multivariate time-series forecasting with high performance. However, especially in real-world systems and related data sets, numerical values that clearly express the relationships between time series elements are not included, and this is a challenge. Another challenge that FCMs have for these problems is that real-world systems are highly dynamic structures and these relationships have variable properties in different situations. We evaluated these challenges as the main motivation factor and developed a GA-based method to determine system relationships for different states of the system. Then, in order to dynamically handle these relationships determined ... |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | IEEE Access |
| Dergi ISSN | 2169-3536 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCOPUS |
| Dergi Grubu | Q2 |
| Makale Dili | İngilizce |
| Basım Tarihi | 02-2025 |