DECSYS – Discrete and Ellipse-based response Capture SYStem
DECSYS – Discrete and Ellipse-based response Capture SYStem
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DECSYS – 离散和基于椭圆的响应捕获系统
DOI：
10.1109/fuzz-ieee.2019.8858996
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Christian Wagner
中科院分区：
文献类型：
--
作者：
Zack Ellerby;Josie McCulloch;J. Young;Christian Wagner
通过区间或模糊集捕获不确定性的数据驱动技术可以大大提高对不确定信息的系统推理。近年来，人们对从各种来源（包括专家和一般调查参与者）获取间隔重新产生了兴趣。这种方法避免了捕获个体不确定性所需的更麻烦的问题，并且可能无法获得相同程度的保真度。它还使受访者能够有效地传达他们的回答中固有的任何范围（例如模糊性），从而允许生成代表这些附加信息的模型。然而，获取和处理区间价值数据的手工方法——例如通过纸质问卷——是耗费人力和时间的。这为从研究到工业（例如市场营销）的更广泛的社区采用间隔值响应格式提供了实际障碍。我们认为，建立一种有效且易于获取的区间值数据捕获方法将极大地促进数据不确定性感知模型的研究和应用。因此，我们提出DECSYS，这是一种新开发的开源软件工具，它可以创建和管理数字调查，从而引出传统和区间值响应。DECSYS集成了一系列功能，旨在最大限度地提高实验者的多功能性和参与者的可用性。调查既可以在本地进行，也可以在网上进行，而且调查结果很容易输出。我们欢迎社会各界的反馈，包括如何在未来最好地调整工具，以实现价值最大化，并支持对不确定性数据收集的多学科采用。
Data-driven techniques that capture uncertainty through intervals or fuzzy sets can substantially improve systematic reasoning about uncertain information. Recent years have seen renewed interest in the capture of intervals from a variety of sources – including experts and general survey participants. This approach avoids the more cumbersome batteries of questions that are otherwise required to capture individual uncertainty, and which may not obtain the same degree of fidelity. It also enables respondents to effectively communicate any range (e.g. vagueness) inherent in their response, allowing generation of models that represent this additional information. However, manual methods of obtaining and processing interval-valued data – such as through paper-based questionnaires, are labour and time intensive. This has provided a practical barrier to adoption of interval-valued response-formats in the wider community, from research to industry (e.g. marketing). We argue that establishing an effective and accessible method for interval-valued data-capture will greatly encourage research in and application of uncertainty-aware models of data. Thus, we present DECSYS, a newly developed open-source software tool, which enables the creation and administration of digital surveys that elicit both conventional and interval-valued responses. DECSYS incorporates a range of features, and is designed to maximise versatility for experimenters and usability for participants. Surveys can be conducted either locally or online, and results easily exported. We welcome community feedback, including on how to best tailor the tool in the future to maximise value and support multidisciplinary adoption of uncertainty-aware data collection.
从调查中生成不确定的模糊逻辑规则：从人类专家那里捕获变量之间的主观关系
DOI：
10.1109/smc.2015.355
发表时间：
2015
期刊：
--
影响因子：
--
作者：
Wagner C
通讯作者：
Wagner C