Description of the Structure and Functions of an Intelligent Software System for Optimizing Adaptive Project Control with Fuzzy Data

The study describes the main structural components, elements and functions of an intelligent software system that models the project control processes of an economic entity. Numerical algorithms are based on a methodology for optimizing adaptive control of projects using network economic and mathematical modeling and the feedback principle, which makes it possible to take into account the incompleteness of information associated with the non-fulfillment or delay of specific project operations. The components under consideration involve the formation of a set of acceptable positions in the process of project control, as well as the implementation of feedback in the form of appropriate reactions of control actions to possible changes in situations during its implementation. Information support and technical and economic conditions for the implementation of a specific project are taken into account in the initial data of the components of the software system. The study presents a detailed description of the created components in the form of used objects, classes and other elements of object-oriented programming, which structures the data from the point of view of their controllability, allows to control the modeling process under consideration and organize software implementation. The intelligent software system developed by the authors is a tool for supporting control decisions when implementing practical projects in the field of economic management.