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Online Shopping Decisions Enhancement with Fuzzy Expert System
ISSN: 2783 - 2678
Publisher: author
Online Shopping Decisions Enhancement with Fuzzy Expert System
Indexed in
Business and Management
ARTICLE-FACTOR
1.3
Article Basics Score: 3
Article Transparency Score: 3
Article Operation Score: 2
Article Articles Score: 3
Article Accessibility Score: 2
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International Category Code (ICC):
ICC-0502
Publisher: Mohammad Ebrahim Sadeghi
International Journal Address (IAA):
IAA.ZONE/2783102572678
eISSN
:
2783 - 2678
VALID
ISSN Validator
Abstract
Purpose Nowadays, due to the rapid development of the Internet and the rapid growth of web pages, many electronic websites are using product recommendation systems to guide users to the products that they need. Such systems usually provide a list of suggested items that the user may prefer. These systems are provided as a support tool to help users obtain information that best meets their needs. These systems can actually improve user decisions, resulting in increased sales and mutual customer satisfaction. The purpose of the paper is to improve user decisions in online shopping using fuzzy expert system. Methodology: The statistical population of this study consists of 30 experts in the field of e-commerce who were selected by combining two methods of deliberate sampling and snowball sampling. To analyze the status of improvement of users' decisions, a fuzzy expert system was created using input variables business reputation status, ...
