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首页> 外文期刊>Expert Systems >A hybrid MCDM model combining DANP with TODIM to evaluate the information quality of community question answering in a two-dimensional linguistic environment
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A hybrid MCDM model combining DANP with TODIM to evaluate the information quality of community question answering in a two-dimensional linguistic environment

机译：将DANP与TODIM结合的混合MCDM模型评估二维语言环境中社区问题的信息质量

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摘要

Evaluating the information quality of cQA (community question-answering) websites helps users select a cQA website with high-quality information and improves the information quality. In this paper, an approach to evaluating the information quality of cQA based on a novel hybrid multicriteria decision-making (MCDM) model is proposed. First, the source, content, expression and usefulness criteria for evaluating the information quality of the cQA are established. Then, considering the ambiguity and inner correlations of the criteria, DANP ([DEMATEL]-based Analytic Network Process) and TODIM (interactive and multiple attribute decision making, in Portuguese) methods are combined in a two-dimensional linguistic environment to process linguistic evaluation information. Lastly, the proposed approach is applied to evaluate the quality of five popular cQA websites. The key criteria are identified, and the evaluation results are derived comprehensively. The key factors consist of reputation, coverage, politeness, usability, helpfulness, clarity, readability and conciseness. The websites, Know almost and Baidu knows, perform better in terms of information quality. The application, along with the sensitivity analysis and comparative analysis, shows the effectiveness of the proposed model. The proposed approach has both practical and research implications. It provides an approach for users to choose websites, and, for operators, to improve the information quality of their website. The evaluation criteria and their relations provide a reference for research on the information quality. The evaluation method considers the user's psychological information to provide a more accurate MCDM approach. The comprehensive aspects of the experiment can be used to verify the other MCDM methods.
机译：评估CQA的信息质量（社区质询回答）网站帮助用户选择具有高质量信息的CQA网站并提高信息质量。本文提出了一种基于新型混合多标准决策（MCDM）模型来评估CQA信息质量的方法。首先，建立用于评估CQA信息质量的源，内容，表达和有用标准。然后，考虑到标准的歧义和内部相关性，DANP（基于[Dematel]的分析网络进程）和TODIM（葡萄牙语）方法中的TODIM（互动和多个属性决策）在一个二维语言环境中组合到处理语言评估信息。最后，拟议的方法适用于评估五个流行的CQA网站的质量。鉴定关键标准，并综合地得出评估结果。关键因素包括声誉，覆盖范围，礼貌，可用性，助人，清晰度，可读性和简洁。网站，知道差不多和百度知道，在信息质量方面表现更好。该应用以及灵敏度分析和比较分析显示了所提出的模型的有效性。拟议的方法具有实际和研究含义。它为用户提供了一种选择网站的方法，以及为运营商提高其网站的信息质量。评估标准及其关系为信息质量的研究提供了参考。评估方法考虑用户的心理信息，以提供更准确的MCDM方法。实验的综合方面可用于验证其他MCDM方法。

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