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首页> 外文会议>International Symposium on Advanced Intelligent Systems;International Conference on Soft Computing and Intelligent Systems >Aggregation of Epistemic Uncertainty: A New Interpretation of the Certainty Factor with Possibility Theory and Causation Events
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Aggregation of Epistemic Uncertainty: A New Interpretation of the Certainty Factor with Possibility Theory and Causation Events

机译：认知不确定性的聚集：用可能性理论和因果事件对确定性因子的新解释

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Information aggregation has a long history of studies. It has been used in decision-making, sensor fusion, information retrieval, affective intelligence and many other applications for combining certainties, reliabilities, sentiments and other degrees of information to judge something in the real world. The paper dares to revisit a traditional and seemingly forgotten representation of uncertainty called Certainty Factors, and discusses a new interpretation with Possibility theory and causation events. Then it develops a few aggregation functions of uncertainties derived from distinct pieces of evidence. The Certainty Factors had been criticized due to lack of sound mathematical interpretation from the viewpoint of Probability theory. Thus, the paper first tries to establish a theory for a sound interpretation using Possibility theory. Then it examines the aggregation based on the interpretation. It proposes four combination functions with sound theoretical basis, one of which is exactly the same as the combination criticized for long time.
机译：信息聚合研究历史悠久。它已用于决策，传感器融合，信息检索，情感智能和许多其他应用程序中，以结合确定性，可靠性，情感和其他信息程度来判断现实世界中的某些事物。该论文敢于重新审视不确定性的传统表示形式，即确定性因素，并讨论了用可能性理论和因果事件进行的新解释。然后，它开发了一些来自不同证据的不确定性的汇总函数。从概率论的观点出发，由于缺乏合理的数学解释，对确定性因素提出了批评。因此，本文首先尝试建立一种利用可能性理论进行声音解释的理论。然后，根据解释检查聚合。它提出了四个具有良好理论基础的组合函数，其中之一与长期以来被批评的组合完全相同。

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