Comprehensive Research of the Commodity Market: Theoretical, Methodological and Modern Approaches Using Neural Networks with Fuzzy Logic

Kizi M. R. N.

International Conference on Intelligent and Fuzzy Systems, INFUS 2020, İstanbul, Turkey, 21 - 23 July 2020, vol.1197 AISC, pp.973-980 identifier

  • Nəşrin Növü: Conference Paper / Full Text
  • Cild: 1197 AISC
  • Doi nömrəsi: 10.1007/978-3-030-51156-2_113
  • Çap olunduğu şəhər: İstanbul
  • Ölkə: Turkey
  • Səhifə sayı: pp.973-980
  • Açar sözlər: Adaptive networks, Agricultural market, Anfis, Consumer market, Fuzzy logic, Fuzzy neural network, Industrial market, Neural network systems, Product market marketing segmentation
  • Adres: Bəli

Qısa məlumat

In market conditions, entering a new foreign market is always an urgent problem for all types of commodity market units, which puts forward special requirements for the effectiveness of the economic management system, and also requires solving marketing research tasks, differentiating and segmenting the commodity market. The article gives a general methodology for marketing segmentation and positioning in the product market on the basis of which you can really assess the condition of the product market, the potential of the enterprise and the formation of its future activities. The issues of marketing segmentation and forecasting of various units of the commodity market using neural and neuro-fuzzy adaptive systems with the aim of exploring opportunities to enter a new foreign market are considered.