Proactive management of complex objects using precedent methodology

Abstract

The article describes the approach to designing proactive decision support systems (DSS) based on the modification of the generalized computational model as a knowledge representation model (KRM). It is proposed to use a precedent methodology for making management decisions. It was found that this approach allows to predict the situations and ensure the model’s self-learning by forming a precedent knowledge base.