Dynamic Fuzzy Cognitive Maps Based Crowd Analysis Using Time Series Obtained From Video Processing
Yazarlar (6)
Turan Goktug Altundogan
Mehmet Karakose
Orhan Yaman
Senem Tanberk
Fatih Mert
Asım Egemen Yılmaz
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | IEEE Access (Q2) | ||
| Dergi ISSN | 2169-3536 Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SCOPUS | ||
| Makale Dili | İngilizce | Basım Tarihi | 02-2025 |
| Makale Linki | https://ieeexplore.ieee.org/abstract/document/10887224/ | ||
| UAK Araştırma Alanları |
Yapay Zeka
Bilgisayar Yazılımı ve Yazılım Mühendisliği
Makine Öğrenmesi
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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 … |
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