Decision-making support in software project management based on fuzzy ontology

The article deals with knowledge management in software projects and decision-making support of its participants. The novelty of research is justified by the need to reduce the degree of uncertainty in decision-making and is confirmed by statistics indicating a sufficiently large number of unsuccessful projects. It is proposed to organize decision-making support based on the cases analysis of previously occurring problem situations. Also, it is proposed to use knowledge engineering methods, in particular, ontological analysis of the subject area. A formation of a fuzzy ontology method is developed for decision-making support in the software development. The novelty of the mathematical model lies in the combination of various inference mechanisms when making decisions on the basis of the entire complex of knowledge about the subject area. Increasing amount of information does not allow using simple searches for quick retrieval of the necessary information. Therefore, an algorithm is proposed for generating a search query that takes into account fuzzy properties, fuzzy taxonomic and associative relations between classes of objects in ontology. The effectiveness of the proposed solutions is confirmed by an experiment on the prototype of an intelligent decision-making support system.