Appling Fuzzy Inference Logic System to Dynamic Model of Gross Domestic Product (in Case of Azerbaijan)

Hasanli Y., Elnure S., Fariz G.

15th International Conference on Application of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools, ICAFS 2022, Budva, Montenegro, 26 - 27 August 2022, vol.610 LNNS, pp.427-434 identifier

  • Nəşrin Növü: Conference Paper / Full Text
  • Cild: 610 LNNS
  • Doi nömrəsi: 10.1007/978-3-031-25252-5_57
  • Çap olunduğu şəhər: Budva
  • Ölkə: Montenegro
  • Səhifə sayı: pp.427-434
  • Açar sözlər: Dynamic model, Fuzzy inference logic method, Fuzzy logic, Gross domestic product, Model of the optimal trajectory of GDP
  • Adres: Bəli

Qısa məlumat

The main criteria and source of economic development is economic growth. Economic growth is a sustainable increasing tendency of the main indicators of national theory production – gross national income (GNI) and gross domestic product (GDP). Furthermore, absolute value and per capita growth are also considered. In economics and statistics, various indicators are used to measure the amount of national production. The most important of these is gross domestic product. GDP is expressed by monetary unit of the final products and services produced in the economy. Here, it should be taken into account that GDP is comprised of final products and services produced within the particular country. In this work, fuzzy inference logic system was applied to the dynamic model that demonstrates the dependence of GDP on currency and oil price in case of Azerbaijan economy. To solve this dynamic problem some coefficients, need to be defined. Fuzzy inference logic method was suggested to define these coefficients. Fuzzy inference logic method was realized by MATLAB Software Package.