Knowledge Identification by Structured Data for Decision Making in Project Teams

Abstract

The methodology of information support for decision-making in the formation of the project team was presented in this article. The object of the research is the process of the project team's formation before the start of the project. The subject of research is a set of methods and means of organizing information support for decision-making in the formation of a project team. Aim of this research work is organization of information support for decision-making in the process of forming a project team to improve the quality of decisions. The proposed methodology includes collection and preparation of data for analysis, identification of new knowledge based on similarity of objects using clustering, their integration with expert knowledge, formalization of knowledge and formation of the knowledge base, obtaining solutions while making use of knowledge and inference engine. Application of tools for data mining, namely the analytical platform Deductor Studio, are shown. The results of experimental studies based on the proposed method are provided.