Fuzzy Logic in Economics – the Formation of a New Direction
Margarita LebedevaThe article presents a brief overview of the history of fuzzy logic. The considered path starts with the three-digit logic developed by the Polish mathematician Jan Lukasiewicz, who enters model statements (strong and weak approval and denial) and further develops an infinite (n-digit) logical system. Later in the works of Professor L. Zadeh there is fuzzy logic with an infinite number of results, created fuzzy sets – classes with inaccurately defined boundaries. We describe the main directions of fuzzy logic development in the field of data mining. It is shown that fuzzy logic is widely used in the field of economic research: in assessing the development of economic sectors, in insurance, decision support, modeling the economy of regions and countries, in forecasting and etc. Special attention is paid to the history of development and the possibilities of application of such direction of fuzzy logic as fuzzy cognitive modeling, the foundation for which was laid by the American researcher B. Kosko. The article includes examples of the use of cognitive approach to solve various problems in economic research, including theoretical analysis of the resource-dependent economy, the study of innovative processes in the resource-type economy, the construction of forecasts of the Russian economy. It is concluded that the existence of a lot of economic research that takes advantage of fuzzy logic indicates about its applicability to the study of various aspects of economic development.