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aTLP: A color-based model of uncertainty to evaluate the risk of decisions based on prototypes

机译:aTLP:基于颜色的不确定性模型,用于评估基于原型的决策风险

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摘要

Clustering techniques find homogeneous and distinguishable prototypes. Careful interpretation of these prototypes is crucial to assist the experts to better organize this know-how and to really improve their decision-making processes. The Traffic Lights Panel was introduced in 2009 as a postprocessing tool to provide understanding of clustering prototypes. In this work, annotated Traffic Lights Panel (aTLP) is presented as an enrichment of the TLP to manage the intrinsic uncertainty related with prototypes themselves. The aTLP handles uncertainty through a quantification of the prototypes' purity based on the variation coefficients (VC) and an associated color-based uncertainty model, with two dimensions - tone and saturation -representing nominal trend and purity of the prototype. An application to a waste-water treatment plant in Slovenia, in a discrete and continuous approach, suggests that aTLP seems a useful and friendly tool able to reduce the gap between data mining and effective decision support, towards informed-decisions.
机译:聚类技术找到同类且可区分的原型。仔细解释这些原型对于帮助专家更好地组织此专业知识并真正改善他们的决策过程至关重要。红绿灯面板于2009年引入,是一种后处理工具,可帮助您理解聚类原型。在这项工作中,带注释的交通灯面板(aTLP)是对TLP的一种丰富,用于管理与原型本身相关的内在不确定性。 aTLP通过基于变异系数(VC)量化原型的纯度和相关的基于颜色的不确定性模型来处理不确定性,其中二维(色调和饱和度)代表了原型的标称趋势和纯度。以不连续和连续的方式在斯洛文尼亚的废水处理厂中进行的一项应用表明,aTLP似乎是一种有用且友好的工具,能够减少数据挖掘和有效决策支持之间朝着明智决策的差距。

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