The article explores several aspects of the possible existence of informational actions and counteractions in the field of economy. The analysis of similar processes has been made utilizing structure-functional and structure-dynamic modelling. The basic models that allow revealing the essence of the phenomena under analysis are the systems of differential equations that are congruent with the constructions, which have used in the traditional dynamic system. The combination of contextual and subsidiary DFD-diagrams, developed following the technology SADT, allows understanding the functional logic of performed actions. The experimental part of the research had based on the use of imitation platform Analogic and the real statistic data that testified to the dynamic marketing behaviour of a range of business entities. These entities promoted their products in the market using information-communication technologies. The scholars of the study integrated structurefunctional and structure-dynamic patterns of informational actions and counteractions in the field of the economy that have successfully tested. The results of modelling possess a high level of compatibility with the empirical data. It provides adequate prediction and assessment of the possibility of implementing various scenarios of events, and, consequently, in economy management.
The article substantiates the necessity of constructing ontologies of mathematical models for technological objects of industrial enterprises. For this, a survey was conducted and expert evaluations were obtained, which showed that there is currently no complete classification of existing mathematical models and corresponding ontologies in the field of industry. Experts also noted that the presence of such an ontology significantly facilitated their work in conducting research and work related to the creation of highly efficient production management systems based on models. Such models will include existing mathematical representations of technological processes, as well as methods for identifying their parameters. Based on the results of expert evaluations, Ishikawa’ diagram was constructed, which reflects the factors affecting the development of a mathematical model and is the basis for the development of an ontology. Also, to create an adequate ontology, the place of the mathematical model in the hierarchy of existing models is determined. An important stage in the design of the ontology was the classification of existing mathematical models according to selected characteristics, which included the structure of the model, its character, its object properties, the purpose of the model and mathematical dependencies. The main concepts of the models are defined, which include classic and modern varieties of models for technological processes.
The article proposes the implementation of an applied ontology of mathematical models of technological objects for the design of a subsystem of decision-making support, which issues recommendations for the mathematical apparatus in relation to the development goals for the automated management of a food enterprise. It consists of 46 entities with corresponding relationships, attributes, and axioms, and is also implemented in the OWL language by the Protege open platform tools, taking into account existing standards and recommendations. In the structure of the ontology, the mathematical model is represented as branches of subclasses with the corresponding sets of attributes, characterized by their relationship to the higher-level model. Within this ontology, 17 types of relationships are presented. Applied ontology passed two stages of verification: structural - based on generally accepted estimates; logical - by testing queries and manually checking the correctness of the results. In particular, examples of model selection using an ontology for virtual sensors are given. The use of the proposed ontology in the structure of the management decision support subsystem increases the efficiency of these decisions, the validity of management actions and the efficiency of the technological component of the enterprise. Also, the ontology can be integrated into the ontology of industrial enterprises tasks or other domain ontologies.
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