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Article · Cogent Engineering · May 7, 2026

Methods for developing models and decision making in a fuzzy environment for effective control of the coking process

Batyr Orazbayеv, Kulman Orazbayeva, Elmira Dyussembina, Gulzhan Uskenbayeva, Alia SHUKIROVA, Zhannat Abdugulova

Gulzhan Uskenbayeva
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Abstract

The article is devoted to studying problems related to the development of models and decision-making strategies for controlling complex production processes under conditions of fuzziness. A systemic method for model development and a heuristic decision-making method for the effective control of complex production processes in a fuzzy environment are proposed, allowing the maximum use of available fuzzy information. The novelty of these methods lies in their ability to develop effective fuzzy and linguistic models of poorly formalized objects and, on their basis, make an optimal decision for effective coke production control in a fuzzy environment. The proposed heuristic method is based on modifying various optimality principles adapted for fuzziness, as well as on the formalization and comprehensive use of available fuzzy information, which allows making adequate decisions in a fuzzy environment. Using the proposed method, effective models of the coking reactors at the Atyrau refinery were developed. Based on these models, an optimal solution was found that ensures the best values of control criteria. The practical significance of the results lies in a 5.8% increase in high-quality coke production, thereby enhancing the economic effect. The results can also be applied to modeling and decision-making for other production processes in a fuzzy environment.

Fuzzy Logic and Control SystemsIndustrial Technology and Control SystemsMathematical Control Systems and Analysisdelayed cokingfuzzy decision makinglinguistic models

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