Methods of Fuzzy Multi-Criteria Decision Making for Controlling the Operating Modes of the Stabilization Column of the Primary Oil-Refining Unit

Batyr Orazbayev, Yerbol Ospanov, Valentina Makhatova, Lazzat Salybek, Zhanat Abdugulova, Zhumazhan Kulmagambetova, Salamat Suleimenova and Kulman Orazbayeva ()
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Batyr Orazbayev: Department of System Analysis and Control, L.N. Gumilyov Eurasian National University, Astana 010000, Kazakhstan
Yerbol Ospanov: Department of Automation and Information Technology, Shakarim University, Semey 070014, Kazakhstan
Valentina Makhatova: Department of Software Engineering, Dosmukhamedov Atyrau University, Atyrau 010008, Kazakhstan
Lazzat Salybek: Department of Automation, Telecommunications, M. Auezov South Kazakhstan University, Shymkent 160000, Kazakhstan
Zhanat Abdugulova: Department of System Analysis and Control, L.N. Gumilyov Eurasian National University, Astana 010000, Kazakhstan
Zhumazhan Kulmagambetova: Department of Informatics and Information Technologies, Aktobe Regional University Named after K. Zhubanov, Aktobe 030212, Kazakhstan
Salamat Suleimenova: Department of System Analysis and Control, L.N. Gumilyov Eurasian National University, Astana 010000, Kazakhstan
Kulman Orazbayeva: Faculty of Business and Management, Esil University, Astana 010005, Kazakhstan

Mathematics, 2023, vol. 11, issue 13, 1-20

Abstract: Many technological systems are characterized by fuzzy initial information, necessary for the development of their models, optimization and control of operating modes. Therefore, the purpose of this study is to formulate decision making problems for optimizing and controlling operating modes of such systems in a fuzzy environment and to develop methods for solving them. The developed heuristic methods of fuzzy multi-criteria decision making are based on the modification and combination of different principles of optimality. The proposed methods based on system models, knowledge and experience of the decision maker allow iterative improvement and effective decision making. On the basis of experimental–statistical methods, methods of expert evaluation, statistical and fuzzy models of the stabilization column have been developed. The conditions for judging the fuzzy model’s effectiveness are determined and investigated. Using the proposed heuristic method based on the main criterion and maximin, the problem of two-criterion optimization of the stabilization column parameters in a fuzzy environment is solved. The results obtained confirm the advantages of the proposed method of fuzzy decision making in comparison with the results of known methods. The developed heuristic methods differ from known ones because they allow making adequate decisions in a fuzzy environment by maximizing the use of the collected fuzzy information.

Keywords: multicriteria optimization; fuzzy decision making; decision maker; principles of optimality; heuristic methods (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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