Evaluation of the website effectiveness based on the technology of fuzzy control
Оценка эффективности сайта на основе технологии нечёткого управления
Molodetskaya, Svetlana (Молодецкая, Светлана) () and
Shitova, Tatyana (Шитова, Татьяна) ()
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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
Voprosy upravleniya / Management Issues, 2020, 39-49
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\
Keywords: fuzzy sets; uncertainty; fuzzy logic; linguistic variable; site performance evaluation criteria; fuzzy control technology; term set; membership function; probabilistic method; Saati method; Churchman-Ackoff method (search for similar items in EconPapers)
Date: 2020
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