User Experience Evaluation of Electronic Commerce Platform

doi:10.3969/j.issn.1007-7375.e16-4210

Abstract

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 system,and 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.

Key words: user experience, electronic commerce platform, online retail, comprehensive evaluation, gray relational analysis

CLC Number:

TB18

OUYANG Feng, FENG Baoying, ZENG Jing. User Experience Evaluation of Electronic Commerce Platform[J]. Industrial Engineering Journal , 2017, 20(1): 99-106.

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