Uncertainty in Modeling and Control Problems of Complex, Poorly Formalized Multicomponent Systems

Abstract

Uncertainties can occur in various types of complex systems, having a significant impact on the entire modeling process. The analyst needs to eliminate uncertainties at each stage of modeling and functioning of complex systems. In modeling, an important task is to analyze the uncertainty in order to get high-quality control of a complex system. Next, we will consider complex poorly formalized multicomponent systems that can form a component based on achieving a common goal and/or eliminating uncertainty. In order to eliminate uncertainty at the stage of design and operation of multicomponent systems, or to reduce the degree of its influence, the principle of uncertainty compensation is formulated. The implementation of this principle is to disclose the procedural component of eliminating uncertainties. In this case, the researcher can use various techniques to eliminate uncertainties, but the conceptual framework must remain unchanged.