DSpace Repository

Methods for Modeling and Optimizing the Delayed Coking Process in a Fuzzy Environment

Show simple item record

dc.contributor.author Orazbayev, Batyr
dc.contributor.author Dyussembina, Elmira
dc.contributor.author Uskenbayeva, Gulzhan
dc.contributor.author Shukirova, Aliya
dc.contributor.author Orazbayeva, Kulman
dc.date.accessioned 2024-09-17T05:45:19Z
dc.date.available 2024-09-17T05:45:19Z
dc.date.issued 2023
dc.identifier.citation Orazbayev, B.; Dyussembina, E.; Uskenbayeva, G.; Shukirova, A.; Orazbayeva, K. Methods for Modeling and Optimizing the Delayed Coking Process in a Fuzzy Environment. Processes 2023, 11, 450. https:// doi.org/10.3390/pr11020450 ru
dc.identifier.issn 2227-9717
dc.identifier.other doi.org/10.3390/pr11020450
dc.identifier.uri http://rep.enu.kz/handle/enu/16438
dc.description.abstract Technological objects and processes are often characterized by fuzzy initial information necessary for developing their models and optimization. The purpose of the study is to develop a method for synthesizing linguistic models of fuzzy described objects and a heuristic method for solving the multicriteria optimization problem in a fuzzy environment. Based on the expert assessments and logical rules of conditional inference, a method for synthesizing linguistic models was developed for describing processes with fuzzy input and output parameters. To solve the problem of multicriteria optimization, a heuristic method based on the modification and combination of various optimality principles is proposed. Coking reactor models were developed by modifying the successive regression inclusion method and the least squares method. Linguistic models of the delayed coking process were developed in the Fuzzy Logic Toolbox, allowing to evaluate the coke quality depending on the temperature and pressure of coking reactors. Using the proposed heuristic method, the problem of two-criteria optimization of the delayed coking process with fuzzy constraints is solved. The results confirm the advantages of the proposed fuzzy approach compared with the well-known approaches. Unlike them, the proposed method allows making adequate decisions in a fuzzy environment by maximizing the use of available fuzzy information. ru
dc.language.iso en ru
dc.publisher Processes ru
dc.relation.ispartofseries Volume 11;Issue 2
dc.subject chemical-technological system ru
dc.subject decision maker ru
dc.subject delayed coking unit ru
dc.subject linguistic model ru
dc.subject petroleum coke ru
dc.title Methods for Modeling and Optimizing the Delayed Coking Process in a Fuzzy Environment ru
dc.type Article ru


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account