Plenary lecture 3: a fuzzy technologies of weakly structurable systems' modeling and simulation
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The Plenary Speech will present the new approach to the study of optimization of weakly structurable fuzzy dynamic systems (Extremal Fuzzy Dynamic System (EFDS)). This approach is based on the six papers published in the Int. Journal of General Systems (by G. Sirbiladze, Modeling of Extremal Fuzzy Dynamic Systems. Parts I-VI: 34,2, 2005, 107-138; 139-167; 169-198; 35, 4, 2006, 435-459; 35, 5, 2006, 529-554; 36,1 2007, 19-58). 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, for example in 1) engineering problems, 2) economics an
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The Plenary Speech will present the new approach to the study of optimization of weakly structurable fuzzy dynamic systems (Extremal Fuzzy Dynamic System (EFDS)). This approach is based on the six papers published in the Int. Journal of General Systems (by G. Sirbiladze, Modeling of Extremal Fuzzy Dynamic Systems. Parts I-VI: 34,2, 2005, 107-138; 139-167; 169-198; 35, 4, 2006, 435-459; 35, 5, 2006, 529-554; 36,1 2007, 19-58). 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, for example in 1) engineering problems, 2) economics an
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