| 摘要: |
| 目的 针对专业性购物网站设计的评价排序问题，提出一种基于用户体验的评价方法，并对评价结果数据的处理方法进行研究。方法 基于用户体验对专业性购物网站建立评价体系，采用优化的层次分析法（AHP），即网络分析法（ANP）对评价体系的权重进行确立，并引入相对熵优化的TOPSIS方法对网站的评价结果数据进行排序。结论 通过样例证明，该评价体系考虑全面，数据处理方法稳定，可以确定专业性购物网站设计和改进中需要优先考虑的问题，并有效且正确地反映市场的实际竞争情况。 |
| 关键词: ANP 相对熵 TOPSIS 网站评价 |
| DOI：10.19554/j.cnki.1001-3563.2019.02.037 |
| 分类号:TB472 |
| 基金项目:国家自然科学基金（51205262） |
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| Evaluation of Professional Shopping Website Based on ANP and Optimized TOPSIS Method |
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LIU Yu-xin, WANG Mei, LI Jia
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Sichuan University, Chengdu 610065, China
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| Abstract: |
| The work aims to propose an evaluation method based on user experience and study the processing method of evaluation results, with respect to the evaluation ranking problem of professional shopping website design. Based on the user experience, the evaluation system of professional shopping websites was established. The weights of the evaluation system were established by means of the optimized AHP: ANP, and the optimized TOPSIS method based on relative entropy was introduced to rank the evaluation results of websites. The example proves that the evaluation system has comprehensive consideration and processes the data stably. The evaluation system can identify the priority issues in the design and improvement of professional shopping websites, and effectively and correctly reflect the actual competition situation in the market. |
| Key words: ANP relative entropy TOPSIS website evaluations |
