Three-Dimensional System-Object Classification for Prediction and Control Support

Abstract

The disadvantages of modern methods of classifying objects and processes are considered. We propose a method of constructing three-dimensional classifications that allows the elimination of some of these shortcomings, based on the system-object approach, using the ideas of multidimensional classification and natural classification. Three basic system characteristics are used as classification planes: structural (node), functional (function), and substantive (object), which allows for the classification by types of functional request to the system from a higher-order system (supersystem) by types of system formation processes and by the obtained results. Each classification is a tree-type graph with one vertex that is common to all three planes. The formal description of the three-dimensional graph by means of descriptive logic is presented, which not only allows for the phenomena and objects of the subject area to be classified, but also for the cause-and-effect relations existing in this area to be traced. The procedures for the use of three-dimensional system-object classification for forecasting and management support are described. An example of three-dimensional classification for functional diagnostic devices is given.