As important knowledge-sharing platforms, community question-answering (CQA) websites have attracted the attention of many users. An evaluation of the quality of CQA websites can assist users in selecting high-quality CQA websites and can help the operators of CQA websites achieve the most beneficial improvements. An approach to the evaluation of CQA websites is proposed in this study. First, a CQA service quality model is constructed to evaluate the quality of CQA websites based on the E-SERVQUAL model. A novel multicriteria decision-making (MCDM) model is proposed to address the ratings. In the model, uncertainty and consistency are combined in an interval-valued intuitionistic fuzzy (IVIF) environment to determine two kinds of expert weights. The DANP method, along with experts’ weights, is extended to the IVIF environment to derive the criteria weights. The IVIF TODIM method, along with experts’ weights, is used to rank the CQA websites in terms of quality. Finally, the proposed approach is applied to evaluate the quality of five CQA websites. The experimental results of the application, along with sensitivity analysis and comparative analysis, demonstrate the feasibility and practicality of the proposed approach.

作为重要的知识共享平台，社区问答（CQA）网站吸引了许多用户的注意。对CQA网站的质量进行评估可以帮助用户选择高质量的CQA网站，并且可以帮助CQA网站的运营商实现最有益的改进。本研究提出了一种评估CQA网站的方法。首先，构建了一个基于E-SERVQUAL模型的CQA服务质量模型来评估CQA网站的质量。提出了一种新颖的多准则决策（MCDM）模型来解决评级问题。在该模型中，不确定性和一致性在区间值直觉模糊（IVIF）环境中进行组合，以确定两种专家权重。DANP方法以及专家的权重，扩展到IVIF环境以导出标准权重。IVIF TODIM方法与专家的权重一起用于按质量对CQA网站进行排名。最后，将所提出的方法应用于评估五个CQA网站的质量。该应用程序的实验结果以及敏感性分析和比较分析证明了该方法的可行性和实用性。