Development of a computer intelligent system for optimizing adaptive control of business planning processes

Abstract

Abstract The article presents a methodology for developing an intelligent system for optimizing adaptive control of business planning processes in conditions of uncertainty. The results of the work are based on a new method for optimizing adaptive project management using network economic and mathematical modeling. The article describes a methodology for computer implementation of the proposed intelligent system, which is designed to automate the modeling of business planning processes and optimize adaptive decision-making management during their implementation based on network economic and mathematical modeling, as well as methods and tools for the development of intelligent computer systems. The developed system takes into account the existing specific technical and economic conditions and the available information support. The results obtained in this work can serve as a basis for the creation of intelligent computer systems to support management decisions in the implementation of business planning processes in conditions of information uncertainty.