Aggregations of Subjective Probabilities Based on Logical Information Source Model and of Possibilistic CFs Using Dempster's Rule
Aggregations of Subjective Probabilities Based on Logical Information Source Model and of Possibilistic CFs Using Dempster's Rule
复制标题
基于逻辑信息源模型的主观概率聚合和使用登普斯特规则的可能性CF
DOI：
10.1109/scisisis50064.2020.9322785
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Koichi Yamada
中科院分区：
文献类型：
--
作者：
Koichi Yamada
本文回顾了最近提出的基于逻辑信息源模型的假设的多个可能性的聚合，并将该方法应用于一种新的主观概率的聚合。它还回顾了一个古老的和有争议的不确定性表示称为不确定性因素（CF），并重新解释它们作为另一种表示的可能性。在此基础上，利用Dempster组合规则以及可能性分布与质量函数之间的不确定性变换和近似，提出了一种新的可能性组合规则。
The paper reviews an aggregation of multiple possibilities for a hypothesis based on a logical information source model proposed recently, and applies the approach to a new aggregation of subjective probabilities. It also recalls an old and controversial uncertainty representation called Certainty Factors (CFs), and reinterprets them as another representation of possibilities. Then, a new aggregation rule of CFs, or equivalently a new combination rule of possibilities is proposed, which employs Dempster's rule of combination as well as uncertainty transformation and approximation between possibility distributions and mass functions.