Teranga Go!：借助多准则犹豫模糊语言术语集意见构建信心与信任的拼车协同消费社区
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust
AI总结：
本研究提出2元模糊语言德尔菲法，结合专家意见测量题项的共识度、一致性与语言得分以验证问卷效度，还开发了GPL v3许可的在线工具辅助达成问卷修改的共识。
摘要：
经典德尔菲法与模糊德尔菲法用于检验问卷等数据收集工具的内容效度。模糊德尔菲法从语言学角度采纳评审专家给出的意见，通过使用模糊数降低意见的模糊性。我们提出一种名为2元模糊语言德尔菲法的扩展方法，用于处理评审专家展现出不同专业程度的场景，该方法利用语言术语的模糊多粒度语义，并获取以2元语言值表示的中间与最终结果。本方案的核心思路是通过对问卷各部分的评估来验证整份问卷，将每个题项的效度定义为一个决策问题。我们结合专家意见，测量每个题项的共识度、一致性程度以及语言得分，以检测那些对工具质量产生正向或负向影响的题项。考虑到使用共识型问卷评估混合式学习教育体验的实际需求，我们提出了一个可解决该问题的问卷验证决策模型。此外，我们还开发了一款基于GPL v3许可证的在线工具，为这一共识达成问题提供支持。该软件可可视化每一轮迭代的集体评估结果，并协助确定问卷的哪些部分需要修改以达成共识性解决方案。
英文摘要：
Classic Delphi and Fuzzy Delphi methods are used to test content validity of a data collection tools such as questionnaires. Fuzzy Delphi takes the opinion issued by judges from a linguistic perspective reducing ambiguity in opinions by using fuzzy numbers. We propose an extension named 2-Tuple Fuzzy Linguistic Delphi method to deal with scenarios in which judges show different expertise degrees by using fuzzy multigranular semantics of the linguistic terms and to obtain intermediate and final results expressed by 2-tuple linguistic values. The key idea of our proposal is to validate the full questionnaire by means of the evaluation of its parts, defining the validity of each item as a Decision Making problem. Taking the opinion of experts, we measure the degree of consensus, the degree of consistency, and the linguistic score of each item, in order to detect those items that affect, positively or negatively, the quality of the instrument. Considering the real need to evaluate a b-learning educational experience with a consensual questionnaire, we present a Decision Making model for questionnaire validation that solve it. Additionally, we contribute to this consensus reaching problem by developing an online tool under GPL v3 license. The software visualizes the collective valuations for each iteration and assists to determine which parts of the questionnaire should be modified to reach a consensual solution.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
