Fuzzy Technologies of Weakly Structurable Systems’ Modeling and Simulation

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. Key–Words: weakly structurable dynamic system, logical-possibilistic modeling and simulation, fuzzy process describing expert reflections, identification and optimal control.