Content area

Abstract

Many modern technological objects in practice are characterized by the uncertainty of the initial information necessary for their management. Recently, one of the pressing scientific and practical problems is the development of new optimization methods for controlling the operating modes of such objects in a fuzzy environment. In this regard, the objective of this study is to develop methods of multi-criteria optimization in a fuzzy environment by modifying the simplex method and various optimality principles based on fuzzy mathematics methods. The methodology of the proposed study is based on a hybrid approach, which consists of the integrated use and modification of simplex methods and optimization methods with various optimality principles for working in a fuzzy environment. The main results are as follows: a simplex method of multi-criteria optimization of immeasurable criteria (here, we are talking about the impossibility of physical measurements of criteria, the values of which are estimated by decision maker); a theorem on the convergence of the solution sequence obtained using the proposed method to the minimum value of the criteria; a heuristic method based on a modification for fuzziness and a combination of the maximin and Pareto optimality principles, which allows effectively solving multi-criteria optimization problems in a fuzzy environment. The heuristic method proposed will be used to solve a real production problem—optimization of the technological process of benzene production.

Details

1009240
Title
Methods of Multi-Criteria Optimization of Technological Processes in a Fuzzy Environment Based on the Simplex Method and the Theory of Fuzzy Sets
Author
Orazbayev, Batyr 1   VIAFID ORCID Logo  ; Orazbayeva, Kulman 2 ; Ospanov, Yerbol 3 ; Salamat Suleimenova 4 ; Kurmangaziyeva, Lyailya 5 ; Makhatova, Valentina 5 ; Izbassarov, Yerlan 5 ; Otebaeva, Aigerim 5 

 Department of System Analysis and Control, L.N. Gumilyov Eurasian National University, Astana 010000, Kazakhstan; [email protected] 
 Department of Management, Esil University, Astana 010008, Kazakhstan; [email protected] 
 Department of Automation and Information Technology, Shakarim University, Semey 070014, Kazakhstan 
 Department of Computer Science, Korkyt Ata Kyzylorda University, Kyzylorda 120001, Kazakhstan; [email protected] 
 Department of Software Engineering, Dosmukhamedov Aytrau University, Atyrau 010008, Kazakhstan; [email protected] (L.K.); [email protected] (V.M.); [email protected] (Y.I.); [email protected] (A.O.) 
Publication title
Volume
12
Issue
18
First page
2856
Publication year
2024
Publication date
2024
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
22277390
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-09-14
Milestone dates
2024-08-15 (Received); 2024-09-11 (Accepted)
Publication history
 
 
   First posting date
14 Sep 2024
ProQuest document ID
3110583753
Document URL
https://www.proquest.com/scholarly-journals/methods-multi-criteria-optimization-technological/docview/3110583753/se-2?accountid=208611
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-09-28
Database
ProQuest One Academic