The use of ontological knowledge for multi-criteria comparison of complex information objects

In this work we consider comparison of complex information objects (CIO) as a component intelligent decision-making. The specifics proposed approach is that compare not all theoretically possible CIOs but only their subset relevant for cur- rent situation and contains existing available objects. Thus, find an acceptable solution from the set ones can be optimal (according to certain criteria). We propose formal ontology-based model CIO considered element intellectual system. This (in contrast domain ontology) defines unique names positions classes class individuals indicate SIO structure. methods based on use knowledge do- main ontology are considered. Various approaches determining semantic proximity similarity metrics quantitative evaluation select parameters used calculation these evaluations. algorithm which same have similar allows generation criteria hierarchy current situation. evaluate semantic-level elements individual reference defined by user (as description or generated properties). As result, satisfy requirements cre- ated, one among them, will in future fulfill task. Therefore, need determine importance each at moment time. For purpose, method hierarchical analysis pairwise criteria.