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Information × Registration Number 0225U000936, (0123U103273) , R & D reports Title Development of Algorithms and Software Tools for the Analysis of Object-Oriented Dynamic Networks popup.stage_title Розробка алгоритмів та програмних засобів трансформації структурних елементів об'єктно-орієнтованих динамічних мереж. Head Terletskyi Dmytro O., Кандидат фізико-математичних наук Registration Date 21-01-2025 Organization V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine popup.description1 The purpose of the research is to develop algorithms for the analysis of structural and functional properties of object-oriented dynamic networks, which will allow re-engineering (transformation of structural elements) of such networks with the aim of optimizing their size and structure, as well as extracting new knowledge and meta-knowledge about domains that these networks are modeled. For the practical application of the developed algorithms, appropriate software tools for the analysis and transformation of the structure of object-oriented dynamic networks will be implemented. popup.description2 The internal structural properties of crisp and fuzzy homogeneous classes of objects that form nodes of object-oriented dynamic networks have been studied to identify crisp and fuzzy concepts within their full consistent decomposition. New algorithms for identifying semantically consistent subclasses of crisp and fuzzy homogeneous classes of objects have been developed, which allow the building of identification lattices of subclasses, transforming individual nodes of the network into a subnet consisting of their subclasses. Methods of constructing new nodes of crisp and fuzzy object-oriented dynamic networks by applying algebraic operations to existing nodes of such networks have been studied. The problem of semantic inconsistency of the intersection of crisp and fuzzy classes of objects is formulated and investigated. New algorithms for calculating the semantically consistent intersection of crisp and fuzzy classes of objects based on the intersection of their semantically consistent decomposition have been developed. The algorithms allow calculating the intersection of individual nodes of clear and fuzzy object-oriented dynamic networks as a set of semantically consistent subclasses. The internal structural and functional properties of crisp homogeneous transitive class hierarchies within object-oriented dynamic networks have been investigated in the context of their refactoring and reengineering. A new algorithm for the semantically consistent decompositions of crisp homogeneous transitive class hierarchies on subhierarchies is developed. The algorithm builds complete bounded decomposing lattices for the class hierarchies, which contain all possible semantically consistent variants of their decomposition. All developed algorithms were implemented in the appropriate software package for the programming language Python 3. Product Description popup.authors Terletskyi Dmytro O. popup.nrat_date 2025-01-21 Close