Fuzzy Cognitive Map is recognized as an important model in soft computing. The Fuzzy Cognitive Map theory studies often treat uncertainty modeling and dynamic modeling separately. So far, there is no single Fuzzy Cognitive Map that can deal with uncertain data and dynamic environments simultaneously. This paper proposed an environment model to describe the link between changing weights and the dynamic environment. As the extensions of the classic Fuzzy Grey Cognitive Map, two dynamic models were designed and implemented in this work: Dynamic Fuzzy Grey Cognitive Map and Dynamic Fuzzy General Grey Map. In this work, we also analyze the characteristics of the two models and evaluate their performance using industrial control problems. The results showed that the proposed models could well handle uncertain data in dynamic environments.
The dynamic extensions of fuzzy grey cognitive maps
2021-01-01
Chen , J , Gao , X , Rong , J & Gao , X 2021 , ' The dynamic extensions of fuzzy grey cognitive maps ' , IEEE Access , vol. 9 , pp. 98665-98678 . https://doi.org/10.1109/ACCESS.2021.3096058
Article (Journal)
Electronic Resource
English
DDC: | 629 |
MAV-UAV Collaborative Situation Assessment Based on Dynamic Intuitionistic Fuzzy Cognitive Maps
British Library Conference Proceedings | 2022
|MAV-UAV Collaborative Situation Assessment Based on Dynamic Intuitionistic Fuzzy Cognitive Maps
Springer Verlag | 2022
|Optimizing Fuzzy Cognitive Maps with a Genetic Algorithm
AIAA | 2004
|