Issue |
E3S Web Conf.
Volume 371, 2023
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2022)
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Article Number | 01073 | |
Number of page(s) | 8 | |
Section | Smart Farming and Precision Agriculture | |
DOI | https://doi.org/10.1051/e3sconf/202337101073 | |
Published online | 28 February 2023 |
Fuzzy modeling for toolkit synthesis of managing international digital flows
1 Don State Technical University, Gagarin sq., 1, 344003 Rostov-on-Don, Russia
2 Academy of Philosophy of Economy, Gorkogo str., 88, 344002 Rostov-on-Don, Russia
* Corresponding author: andrey.chist@gmail.com
Currently, there is a transition to a new stage of globalization – informational-digital one. It is not deglobalization that is taking place, but the formation of a globally-digital neo-economy, in which the previous historical types of economic relationships are transformed into forms of digital flows and are subordinated to them. Under conditions of the genesis of neo-economics, it is becoming increasingly urgent to improve the efficiency of international digital flows (IDF)-management both in economic and social aspects. At the same time, the global level of governance is contradictory to other descending social levels. The problem of global economic efficiency is complicated by the modern imperatives of digital sovereignty, which is especially evident in the context of geopolitical and regional conflicts. The formalization of the analysis does not eliminate the causes of conflicts, but allows for a fuller understanding their mechanisms and ways of overcoming. In this regard, a model of morphological synthesis and ranking of alternatives of the IDF-flows managing tools based on a fuzzy multi-attribute selection system is presented. The model provides an opportunity to effectively take into account the multidirectional and mutually compensating aspects of digital flow management.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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