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Information × Registration Number 0310U002135, 0107U001302 , R & D reports Title Increase of information systems intellectuality on the basis of development of ontology and visual structure technique popup.stage_title Аналіз методологій представлення знань, напрямків та засобів підвищення якості інформаційного забезпечення при пошуку інформації в базах і сховищах даних. Аналіз напрямків та методів підвищення релевантності результатів пошуку на основі методів штучного інтелекту. Дослідження можливостей застосування онтологій, об'єктно-орієнтованого підходу разом з технологіями візуального структурного проектування та штучного інтелекту з метою підвищення рівня інформаційного забезпечення діяльності Head Tarasov Alexander F., Registration Date 08-02-2010 Organization Donbass State Engineering Academy popup.description2 Subject of inquiry is applying ontological approach for increase of information systems intellectuality. The research objective is developing and generalizing of information systems creation methodology on the basis of integrated engineer-ing tool application along with decision-making intellectualization methods in program systems and complex technical machine-building systems design. Application domains, picked out for generalization of results application are engineering and technological machine-building production preparation and software engineering. Within the bounds of ontological approach data processing and intellectual data analysis in particular are considered from the decision support point of view in the form of effective control actions calculation. Research of information technologies application and decision-making methods, particularly artificial intelligence methods (AI) – fuzzy cognitive and neural-fuzzy networks (NFN), machine learning methods for solving problems in application domains allowed to define its possibilities in the aim of information systems intellectuality increasing. Analysis of complex information systems design problems revealed the possibility of ontology effective application for its logic models development. General algorithm for program systems logic models de-velopment providing quality solutions on the basis of “natural” templates reflecting gained experience in application do-mains is offered. Varieties of AI tools including separate approaches hybridization and their possible application results are considered. The decision-making process is analyzed and presented as ontology of concepts from the tasks that could be solved point of view and also from selection subject and selection result point of view. It is shown that fuzziness modeling and using such models in the decision-making allows to increase information systems intellectuality and using of hybrid NFN for enterprise power consumption modeling allows to get precise and adequate model as well as a prognosis. The re-sults of research are actual and correspond to world tendencies of development in the area of knowledge-oriented method-ologies of data processing and search automation, ontological and object-oriented approaches to application domain knowl-edge representation in program systems development, world requirements for AI tools development and integration level, modern tendencies in information systems implementation. Product Description popup.authors Бурлей П.О. Вінников М.О. Короткий С.О. Сагайда П.І. Таран С.В. Тарасов О.Ф Тарасов С.О. popup.nrat_date 2020-04-02 Close