БАЯУ КОКСТЕУ ҚОНДЫРҒЫСЫ НЕГІЗГІ РЕКТИФИКАЦИЯЛЫҚ КОЛОННАСЫ ЖҰМЫС РЕЖИМІН БАСҚАРУ БОЙЫНША АЙҚЫН ЕМЕС ОРТАДА ШЕШІМ ҚАБЫЛДАУ ТӘСІЛДЕМЕСІ

Baktygul Assanova; Batyrbai Orazbayev; Жанна Шангитова

doi:10.32523/2616-7182/bulmathenu.2024/4.3

Authors

Baktygul Assanova Kh. Dosmukhamedov Atyrau University https://orcid.org/0000-0003-1029-6266
Batyrbai Orazbayev L.N. Gumilyov Eurasian National University https://orcid.org/0000-0003-2109-6999
Жанна Шангитова Х. Досмұхамедов атындағы Атырау университеті https://orcid.org/0000-0001-7494-5208

DOI:

https://doi.org/10.32523/2616-7182/bulmathenu.2024/4.3

Keywords:

distillation column, decision making, fuzzy constraints, principles of optimality, heuristic method

Abstract

Based on the example of the main distillation column of a delayed coking unit, a mathematical formulation of the problem of decision-making to control the operating modes of complex technological objects characterized by vagueness. The criteria for assessing the quality of operation of this distillation column and the input parameters affecting the quality, operating parameters of the column, as well as unclear restrictions on the quality indicators of its products have been determined. The criteria for assessing the quality of operation of this distillation column and the input parameters affecting the quality, operating parameters of the column, as well as unclear restrictions on the quality indicators of its products have been determined. It is substantiated that, depending on the initial information and the current situation in production and the market, it is possible to adapt combinations of other optimality principles and formulate decision-making problems in a fuzzy environment and develop heuristic methods for solving them. The proposed heuristic approach to solving the problem of decision making in a fuzzy environment, in contrast to known methods for solving fuzzy problems, allows for maximum use of the collected fuzzy information. In known methods for solving fuzzy problems, in the process of transforming fuzzy problems into a set of clear problems, part of the original fuzzy information is lost, which reduces the adequacy of the solution. The proposed approach allows us to formulate and solve a fuzzy problem in a fuzzy environment by formalizing the fuzzyness in the form of a membership function. Thus, due to the maximum use of initial fuzzy information, which represents the experience, knowledge and intuition of the decision maker and experts, it ensures the adoption of effective and highly adequate decisions in a fuzzy environment. The proposed heuristic method for solving a decision-making problem with fuzzy constraints is an iterative method based on improving the solution by exchanging information between a human operator and a computer. The final best decision is made by the decision maker depending on the current situation in production and the market for the products manufactured by the enterprise.

Author Biographies

Baktygul Assanova, Kh. Dosmukhamedov Atyrau University

PhD, Dean of the Faculty of Physics, Mathematics and Information Technologies

Batyrbai Orazbayev, L.N. Gumilyov Eurasian National University

Doctor of Technical Sciences, Academician of the Engineering academy of the Republic of Kazakhstan, professor of the department of System analysis and Control

Жанна Шангитова, Х. Досмұхамедов атындағы Атырау университеті

Associate professor of the department of Program Engineering

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