Business logic processing of an intelligent decision-making support system for complex assessment of startups' success level

Abstract

The subject of research of the master's qualification work is the existing models and methods of assessing the level of success of startup projects. The object of research of the master's thesis is intelligent decision support systems for comprehensive assessment of the success level of startup projects. The purpose of the study is to develop an intelligent decision support system for comprehensive assessment of the success level of startup projects. As part of the work, an analysis of existing approaches to assessing the level of success of start-up projects was carried out, their advantages and disadvantages were determined for further use in the intelligent decision support system. Based on the analysis, a hierarchy of criteria for assessing the level of success of startup projects was built. In the scientific novelty, we see the creation and implementation of a model of an intelligent decision support system for a comprehensive assessment of the success level of startup projects, based on a 5-level hierarchy. The practical value of the developed information system is the solution to the problem of assessing the level of success of a startup project at pre-seed and seed stage in order to provide the opportunity to take early measures to eliminate possible problems at later stages of the life cycle of a startup project.