Duality in dynamic fuzzy systems
Fuzzy Sets and Systems
Fuzzy sets in decision analysis, operations research and statistics
A fuzzy relational equation in dynamic fuzzy systems
Fuzzy Sets and Systems
Architecture of Systems Problem Solving
Architecture of Systems Problem Solving
Dynamic Programming
Bellman's optimality principle in the weakly structurable dynamic systems
FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science
Prediction problem's solution for the finite possibilistic model of expert knowledge streams
ACMIN'12 Proceedings of the 14th international conference on Automatic Control, Modelling & Simulation, and Proceedings of the 11th international conference on Microelectronics, Nanoelectronics, Optoelectronics
Hi-index | 0.00 |
The new approach to the study of weakly structurable continuous dynamic systems (WSCDS) is presented. Different from other approaches where the source of fuzzy uncertainty in dynamic systems is expert, this approach considers time as long as an expert to be the source of fuzzy uncertainty. This notably widens the area of studied problems. All these is connected to the incomplete, imprecise, anomal and extremal processes in nature and society, where connections between the system's objects are of subjective (expert) nature, which is caused by lack of objective information about the evolution of studied system. One of our purposes is to create scenarios describing possible evolution of WSCDS using methods developed in this paper in the framework of expert-possibilistic theory. This includes construction of algorithms of logical-possibilistic simulations of anomal and extremal process analysis. The problems of an optimization and identification of a WSCDS is presented.