Abstract:
The purpose of this study is to develop a method for synthesizing mathematical models of
interconnected units of fuzzy chemical-technological systems (CTS) used for system modeling and
optimization of their operating modes in a fuzzy environment. Since many CTSs in practice consist of
many interconnected units, the development of their mathematical models combined into a single
system of models, which allows systematic modeling and optimization of CTS parameters, is an
urgent scientifc and practical task. To develop a system of models of fuzzy described CTS, consisting
of interconnected units, a system of methods is used that combines formal (experimental-statistical)
and informal methods (methods of peer review, fuzzy set theory). A method for developing a system
of mathematical models of CTS units under conditions of uncertainty due to the random and fuzzy
nature of the available information is proposed. In the proposed method, mathematical models of
various CTS units, depending on the nature of the initial and available information, are developed by
various methods. Accordingly, various types of models are obtained, which are then combined into a
single system of models, taking into account the interconnections of the system’s units. These results
make it possible to develop more adequate models and determine the optimal CTS operating modes in
a fuzzy environment by using the experience, knowledge and intuition of the decision maker, subject
matter experts. Based on the proposed method, models of coke chambers and the main rectifcation
column are developed in the form of combined models, including statistical and fuzzy models. The
results obtained on the example of delayed coking units can be exported to similar CTS in oil refning,
petrochemicals and other industries.
