PREDICTIVE EQUILIBRIUM SOLUTIONS OF THE SYSTEM OF EQUATIONS OF DEMAND AND SUPPLY OF PRODUCTS IN POORLY FORMALIZED PROCESSES

Authors

  • Abduhalil Abdugafarov Scientific-Research Institutefor the Development of Digital Technologiesand Artificial Intelligence Tashkent, Uzbekistan
  • Barno Solieva TashkentUniversity of Information Technologies named after Muhammad Al-Khwarizmi Tashkent, Uzbekistan
  • Nargiza Iminova TashkentUniversity of Information Technologies named after Muhammad Al-Khwarizmi Tashkent, Uzbekistan
  • Kamoliddin Xudayberdiev National University of Science and Technology Moscow Institute of Steel and Alloys Moscow, Russia

Keywords:

membership functions, soft computing, forecast, equilibrium solutions, demand, supply, marketing, algorithm, farmer's market, labor mark.

Abstract

Changes in the market prices of monopolists and other economic entities must be sufficiently justified, i.e. specific reasons for the increase in prices should be indicated, on what basis the increase in prices is expected. In the article a list of tasks to be solved jointly with the marketing service of the company - forecasting the equilibrium price of products, goods and services is proposed with fuzzy initial information.

References

Abdugafarov A., Abduvakhitov T., Primova H.A. Algorithmization, or a system of general rules for the development of a software product on demand and supply // Reports of the Republican scientific and Technical Conference "Current state and prospects of application

of information technologies in management". Tashkent, 5-6 September 2017, pp.68-72.

Abdugafarov A., Abduvakhitov T., Abdugafarov M.I. Maintaining the balance of supply and demand is an important step towards sustainable economic development // Materials of the reports of the VII International intramural scientific and practical Conference

"Problems of analysis and modeling of regional socio-economic processes" (May 18-19,2017) - Kazan: Publishing House of Kazan University, 2017. pp.3-7.

Zadeh L. The concept of a linguistic variable and its application to making approximate decisions. — M.: Mir, 1976. — 166 p.

Kofman A. Introduction to the theory of fuzzy sets. — M.: Radio and Communications,1982. — 432 p.

Fuzzy sets and the theory of possibilities: Recent achievements / R. R. Yager. — M.: Radio and Communications, 1986.

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Published

2024-01-15

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Articles