Horborukov V. Technological means of ontological support for solving problems of ranking alternatives

Thesis of dissertation focuses on solving an actual scientific and technical problem of improving the efficiency of solving multiple criteria problems of ranking and selecting alternatives by developing and introducing technological tools that use the ontological representation of the subject area. The method of constructing the information environment of the multiple criteria ranking problem, which carries out the transformation of the ontological model of the subject area on the basis of the interpretive selection functions constructed using hyper-relation over elements of the taxonomic structure of the ontology and properties of its objects, is developed. The algorithm of competitive normalization of criteria for ranking problems and ratingestimation is developed which takes into account the competitiveness of the process of establishing the degree of dominance of some alternatives over others based on their statistical characteristics. The inverse ranking problem is formulated and algorithms for solving it are developed, which allow to increase the level of analysis of the obtained results at the post-analysis stage of the process of selection (ranking) alternatives and to extend the initial ontological model of the subject area with new properties of research objects.