User Experience Evaluation of Electronic Commerce Platform
OUYANG Feng
FENG Baoying
ZENG Jing
Abstract：The attribute reduction algorithm of rough set is first applied to select initial indexes, the rough set theory used to attain their evaluation weights, and then the evaluation model built based on gray relational analysis to conduct an empirical analysis. The result proves the feasibility of applying the attribute reduction algorithm of rough set in establishing the evaluation index systemand the method proposed in this research can improve the accuracy of the comprehensive evaluation of the user experience. Therefore, it has a reference value to enhance the user experience of electronic commerce platform.
Keywords：user experienceelectronic commerce platformonline retailcomprehensive evaluationgray relational analysis
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 99-106 )