Research of the influence of the knowledge management system of the project activity of the enterprise on the successful implementation of projects using fuzzy logic

In the article, an economic-mathematical model is developed, which allows to evaluate the impact of the knowledge management system of the enterprise's project activities on the successful implementation of projects (PS). The following component systems of knowledge management of project activities of the enterprise are offered: project knowledge management (PKM), knowledge management between projects (KMaP) and knowledge management of project management (KMaP). PKM includes indicators: People, Technologies, Processes (formation and preservation of knowledge; generation and preservation of knowledge; exchange and use of knowledge). KMaP includes indicators: organizational aspect (availability of project management office; type of organizational structure; interaction environment of participants of different groups (project teams)); technical aspect (availability of a single information and communication platform); social aspect (the presence of an atmosphere of interaction and motivation of team members to share knowledge). KMaP is represented by a comprehensive assessment of the level of formation of areas of project management knowledge. The model is built using fuzzy logic, namely Mamdani fuzzy logic, because the input information is qualitative in nature. The implementation of the proposed model includes the following stages: determination of the indicators of the knowledge management system of project activity for the study of its influence on the success of the project and the formation of a logical conclusion tree; description of linguistic variables; definition of functions belonging to linguistic terms; formation of the knowledge base of the fuzzy inference system; construction of a mathematical model; construction of a fuzzy model for assessing the impact of the knowledge management system of project activities on the success of projects using the Fuzzy Logic Toolbox and analysis of the obtained results. The research was carried out for the project-oriented enterprise of the utility sector of Ukraine, Khmelnitskteplokomuninergo. It was established that with the available input values of the indicators in 2020, the probability of successful project implementation is 61.60%. The relationship (degree dependence) between the probability of successful project implementation and the efficiency indicator - electricity consumption by the enterprise for the period 2016-2020 was revealed. In order to reduce the consumption of electricity at the enterprise to the level of 9,200 thousand kWh, it is necessary to increase the probability of successful implementation of the project to the level of 75.06%. To achieve this indicator level, it is necessary to increase the People indicator to the level of 10 points; level of exchange and use of knowledge - up to the level of 5 points; KMaPM - up to the level of 8 points; to create a structural division "Project Management Office", which, as a result, will lead to a PS indicator level of 75.10%