Predicting Dynamics of the Consumer Commodity Market Based on Fuzzy Neural Network

Nuru R. M.

10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions (ICSCCW), Prague, Czech Republic, 27 - 28 August 2019, pp.647-653 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1007/978-3-030-35249-3_83
  • City: Prague
  • Country: Czech Republic
  • Page Numbers: pp.647-653
  • Azerbaijan State University of Economics (UNEC) Affiliated: Yes

Abstract

An important place in the diagnosis of the consumer goods market is occupied by the issues of analyzing methods for forecasting retail turnover. When forecasting retail turnover in the consumer market, an extrapolation method is partially applied. Since trade is a stable development system, their performance is relatively stable. In our work, based on the indicators obtained by extrapolating the turnover of various components of the consumer goods market, we derived a unified indicator - the ratio of commercial activity of the retail product market.