Author
Abstract
Revolutionary changes are taking place in the field of mathematical, statistical and instrumental methods of economics, a brief review of which is the subject of this article. A new paradigm of mathematical research methods is the basis of the methodology of systemic fuzzy interval mathematics. The role of such tools as terminological systems is great. Among the intellectual tools of economics and management, one of the main places is occupied by methods of making managerial decisions. The basic concepts in mathematical methods and models of decision theory are fuzzy and interval numbers and sets, and therefore the intellectual tools of this theory are based on systemic fuzzy interval mathematics. A variety of expert procedures designed to collect and analyze the subjective opinions of experts use intuition as a basic component of human thinking. Methods of awakening and stimulating intuition deserve careful study and development with a view to applying it to solving practical problems. Methods for the development and application of technologies for information and analytical decision support, i.e. controlling are important for economics and management. Particularly promising are the controlling methods and its component – ​the controlling of science, including scientometric and expert methods of managing scientific activities. And therefore we must bring the paradigm of economic science in line with modern requirements, adequately transform the teaching system. The explosive development of the digital economy, by which we mean modern information and communication technologies in the field of economics and management, makes it possible to form a new paradigm of economic science. Its basis, in our opinion, should be a solidary information economy.
Suggested Citation
Alexander I. Orlov, 2022.
"About Modern Intelligent Tools of Economy and Management,"
Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
Handle:
RePEc:ack:journl:y:2022:id:818
DOI: 10.33293/1609-1442-2022-4(99)-30-38
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ack:journl:y:2022:id:818. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.