UDC 338
DOI: 10.36871/2618-9976.2023.05.005
Authors
Angela B. Mottaeva,
Candidate of Economic Sciences, Associate Professor, Financial University under the Government
of the Russian Federation, Moscow, Russia
Daria A. Terentyeva,
Specialist of the Higher School of Engineering and Economics, SPbPU, Peter the Great St. Petersburg
State University, St. Petersburg, Russia
Evgeny A. Konnikov,
PHd (Economy), Peter the Great St. Petersburg State University, St. Petersburg, Russia
Olga V. Zaborovskaia,
Doctor of Science (Economy), Professor, The State Institute of Economics, Finance, Law and Technology,
Gatchina, Russia
Zinaida I. Abdulaeva,
PhD in Economic Sciences, Associate Professor, NorthWestern
State Medical University
named after I.I. Mechnikov, SaintPetersburg,
Russia
Abstract
The systemic resource constraints of global trade processes that emerged in the early 20st century have determined the need to increase the efficiency of managing key components of the national economy, one of which is the industrial complex. The efficiency of management is determined by an analytical basis, which, in turn, must reflect the multidimensionality of the object's properties, which is not fully possible using traditional approaches to analysis. The aim of this study is to develop a toolkit for analyzing the sustainability of the industrial complex's development based on a fuzzy multiple approach. The developed fuzzy multiple model was tested within the industrial complex of the Republic of Karelia and demonstrated its analytical significance.
Keywords
Fuzzy-set approach, Sustainable development, Industrial complex, Fuzzy logic
