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DESCRIPTION OF ELECTRONIC COMMERCE SYSTEMS BY FUZZY LOGIC
Author(s) -
Natalia Yudina,
I. Kushcheva,
B.V. Nazarov
Publication year - 2020
Publication title -
aktualʹnye napravleniâ naučnyh issledovanij xxi veka: teoriâ i praktika
Language(s) - English
Resource type - Journals
ISSN - 2308-8877
DOI - 10.34220/2308-8877-2020-8-1-368-374
Subject(s) - profit (economics) , e commerce , the internet , computer science , fuzzy logic , goods and services , outcome (game theory) , product (mathematics) , preference , quality (philosophy) , operations research , marketing , business , economics , world wide web , microeconomics , engineering , mathematics , market economy , philosophy , geometry , epistemology , artificial intelligence
In e-commerce, profit depends on both quantitative and qualitative indicators - Internet services and their quality, trends in market size, fluctuations in business activity depending on the season, customer inflows and their outflows, product costs. All of these indicators have fuzzy descriptions. E-commerce is a dynamic segment of economic activity. Despite the general principles of marketing, this direction has a number of unique opportunities. The main focus of e-commerce is the sale of services and goods using the Internet. At the same time, the possibilities of e-commerce are very diverse. In this article, we will consider one of the possibilities - an online store. This is a software product that is designed as a Web site, which is further used as a platform for shopping and selling goods. This article discusses using the fuzzy logic apparatus to build an e-commerce model and evaluate alternatives. The statement of the problem is as follows: with many alternatives, we have outcomes: in the case of certainty, one, and with uncertainty, perhaps a certain number of options. Each specific outcome is characterized by a certain state that the object will have after implementing the alternative described by the efficiency criterion that determines the value of the outcome preference indicator. It is necessary to determine the strategy for choosing the most preferable alternative, corresponding to the performance indicator.

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