Open AccessOnline Reputation Evaluation of E-commerce Enterprises Based on Fuzzy Theory
Author(s) -
Ying Li,
Xiuli Ning,
Yingcheng Xu,
Xiaowei Lu,
Lei Han
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/2/022103
Subject(s) - reputation , analytic hierarchy process , e commerce , the internet , virtuality (gaming) , computer science , fuzzy logic , process (computing) , online business , hierarchy , business , knowledge management , world wide web , operations research , engineering , artificial intelligence , economics , social science , sociology , market economy , operating system
With the development of network communication technology, the Internet technology is no longer the main factor restricting the development of e-commerce. While e-commerce facilitates people’s daily life, the amount and quantity of transactions have greatly increased, and the risks arising from the virtuality of transactions have also increased dramatically. The author, with the construction of online reputation evaluation index system of e-commerce enterprises, comprehensively evaluates the online reputation of e-commerce enterprises with transactions carried out at their self-built platforms, by means of fuzzy analytic hierarchy process (AHP). Through practical application, this paper provides technical support for online reputation evaluation of e-commerce enterprises.