ПОДХОД К ПРИНЯТИЮ РЕШЕНИЙ В НЕЧЕТКОЙ СРЕДЕ ДЛЯ УПРАВЛЕНИЯ РЕЖИМОМ РАБОТЫ ОСНОВНОЙ РЕКТИФИКАЦИОННОЙ КОЛОННЫ УСТАНОВКИ ЗАМЕДЛЕННОГО КОКСОВАНИЯ

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.

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