METHODOLOGY FOR THE FORMING OF GENERALIZED INFORMATION MODELS

Author(s): Tsvetkov V.Ya.

Rubric: Information technology

DOI: 10.21777/2500-2112-2022-3-87-95

Release: 2022-3 (40)

Pages: 87-95

Keywords: generalized models, applied models, information field, morphological modeling, derivational modeling, proportionality

Annotation: The article is devoted to the development of methodological foundations in the field of information models creation. The need for a methodology for the forming of generalized models is due to the continuous increase in the number of new problems and the need to modify existing models. Modification of models within the framework of the methodology allows us to modify solutions to a known problem in order to solve a new one, rather than creating a new solution from scratch. The article formulates and reveals the general principles of creating models in the information field. The systematics of the principles of model forming is presented, which determines the basis for the construction of generalized information models. It is shown that general principles are used to find similarities, while particular principles are aimed at finding differences. A new term “morphological information modeling” is introduced. The categorical aspect and features of the selection of key indicators of generalized models are considered. Morphological methods of model forming and methods of model derivation, which are two types of technologies, are considered. The content of the relationship of proportionality between the object of study and its model is revealed as a necessary condition for the generalized models formation. The use of metamodeling for the forming of generalized information models is noted.

Bibliography: Tsvetkov V.Ya. METHODOLOGY FOR THE FORMING OF GENERALIZED INFORMATION MODELS // Education Resources and Technologies. – 2022. – № 3 (40). – С. 87-95. doi: 10.21777/2500-2112-2022-3-87-95