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Evaluation of the website effectiveness based on the technology of fuzzy control
[Оценка Эффективности Сайта На Основе Технологии Нечёткого Управления]

Author

Listed:
  • Molodetskaya, Svetlana (Молодецкая, Светлана)

    (Russian Presidential Academy of National Economy and Public Administration, Ural Institute of Management)

  • Shitova, Tatyana (Шитова, Татьяна)

    (Russian Presidential Academy of National Economy and Public Administration, Ural Institute of Management)

Abstract

In the modern world, management decisions require knowledge about the system of promotion of goods and services. Research areas related to preliminary identification and classification of potential consumers are being developed. The study and accumulation of knowledge on this issue has led to the emergence of various methods of analysis, in particular, the Churchman-Ackoff method, the method of systematic comparison, the probability method, the Saati method, and fuzzy sets. The article presents the advantages of using fuzzy control methods to determine the effectiveness of the site. The purpose of this work is to develop a technology for evaluating the effectiveness of the site based on the fuzzy set theory. The data obtained as a result of installation Yandex.Metrics and Google.Analytics on the site is used for calculating the evaluation. To analyze the sales dynamics of the products sold by LLC “Raduga”, data from two periods is provided. The linguistic variable $g$ – “site development efficiency” is defined. The universal set for the variable $g$ is defined as the segment [0,\,1], and the set of values of the variable $g$ is the segment $G=\{G1, G2, G3, G4, G5\

Suggested Citation

  • Molodetskaya, Svetlana (Молодецкая, Светлана) & Shitova, Tatyana (Шитова, Татьяна), 2020. "Evaluation of the website effectiveness based on the technology of fuzzy control [Оценка Эффективности Сайта На Основе Технологии Нечёткого Управления]," Voprosy upravleniya / Management Issues, Russian Presidential Academy of National Economy and Public Administration, pages 39-49.
    • Handle: RePEc:rnp:mngiss:m20204
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