A FUZZY DECISION-MAKING METHOD FOR CONTROLLING OPERATION MODES OF A HARD-TO-FORMALISE RECTIFICATION COLUMN OF A DELAYED COKING UNIT
Assanova B.U. Orazbayev B.B. Moldasheva Zh. Makhatova V.Е. Tuleuova R.U.
2024National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2024#2024Issue 117 - 30 pp.
In practice, many technological objects, such as complex rectification columns, refineries and other industries are often difficult to formalise, as some parameters are not directly quantified. Such parameters as oil composition, raw material and product quality parameters are not clearly assessed in practice by experienced production personnel based on their experience, knowledge and intuition. Since the quality of operation of complex objects is assessed by many criteria, which are contradictory in the field of effective solutions, the problem of optimising their operating modes should be formulated as a decision-making problem in a fuzzy environment. A decision-making problem with fuzzy constraints for controlling the operating modes of the main rectification column of a delayed coking unit (DCU) is formulated. Based on a modification of Pareto principle of optimality, a heuristic method for solving the formulated decision-making problem in a fuzzy environment is proposed, which allows to obtain an effective solution by using experience, knowledge and intuition decision marker. The process of optimisation and selection of the best solution in the advanced heuristic method is carried out on the basis of the models of the main DCU rectification column developed by the authors. In known approaches to solving fuzzy problems, the initial problem based on the level set α is represented into a set of crisp problems, which are then solved by deterministic methods, which leads to reduced adequacy of the solution. The novelty and difference of the proposed heuristic method of solving the decision making problem from the known methods of solving fuzzy problems lies in the maximum use of available fuzzy information from decision marker, experts. This advantage of the developed method is achieved by formulating and solving the problem in a fuzzy environment by formalising the fuzziness through their accessory functions, which ensures high adequacy of the decision to be made in a fuzzy environment. The proposed heuristic method for solving decision making problem with fuzzy constraints is an iterative method based on improving the solution by exchanging information between decision marker and computer by utilising their advantages.
decision making , distillation column , fuzzy information , heuristic method , Pareto principle of optimality
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Kh. Dosmukhamedov Atyrau University, Atyrau, Kazakhstan
Department of System Analysis and Control, Gumilyov Eurasian National University, Astana, Kazakhstan
Kh. Dosmukhamedov Atyrau University
Department of System Analysis and Control
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