Description: The article demonstrates the feasibility of automated information and analytical support of decision support processes by the leadership of the Ministry of Defense of Ukraine and the Armed Forces of Ukraine on the equipping of weapons and military equipment by an appropriate information and analytical system, which is based on the use of other data centers cognitive ser-vices. The functioning of the general information and analytical work environment is proposed to be carried out on the basis of transdisciplinary principles, which will allow the processing of spatially distributed information of different types. The use of ontological models will ensure the integration of data and a reliable description of their semantics. Ontological engineering tools include three groups, namely the ontology creation tool group, the ontology association group, the ontology mapping and alignment tool, and the information extraction tool group. An ontology is effective mean of presenting information in selection and ranking problems. It’s formed on the basis of taxonomies and the functional properties of the concepts that form them. The ontological methodology is based on an object-oriented approach in which the subject application area is represented as a set of objects, the interaction between which can be represented by the semantic linking of statements, statements and judgments. The article deals with ways of solving rational choice and multicriteria ranking problems with appropriate choice of criteria and alternatives. The possibility of selection, ranking and clustering of research objects is ensured by the application of mathematical methods of multicriteria ranking of alternatives, in particular: weighted sum method, variant analysis method, ideal point meth-ods and OUTRANKING methods. Appropriate logic-linguistic models have been applied to process complex structures of differ-ent types of data.
Keywords: information-analytical system, knowledge-oriented approach, transdisciplinarity, ontological models, subject area, taxonomy, rational choice problem.
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