Ontological fuzzy-possibility approach to creating a pyrolysis furnace control model

Abstract

For objects of economic activity, the development and implementation of an applied approach to creating a subsystem for making managerial decisions that eliminate possible semantic gaps between adjacent layers of the production and technological hierarchy when describing multi-level information flows are considered. The decision subsystem created with the help of the proposed approach is capable of processing multi-level data flows in a complex structure of maintaining these objects in a viable state. The approach proposed by the author is based on vertically integrated ontological models created using standard software tools. The identified semantic links between concepts within the formalized multi-level ontological models are restored using the explicit and implicit knowledge of experts about the conduct of production operations. A fuzzy-possibility approach was chosen as a methodological basis for extracting and formalizing expert knowledge in the form of a fuzzy analytical polynomial. The application of the proposed approach is shown by the example of controlling the process of pyrolysis of high-molecular hydrocarbon raw materials in specialized furnaces.