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Knowledge Representation and Reasoning with an Extended Dynamic Uncertain Causality Graph under the Pythagorean Uncertain Linguistic Environment

A dynamic uncertain causality graph (DUCG) is a probabilistic graphical model for knowledge representation and reasoning, which has been widely used in many areas, such as probabilistic safety assessment, medical diagnosis, and fault diagnosis. However, the convention DUCG model fails to model exper...

詳細記述

保存先:
書誌詳細
主要な著者: Yu-Jie Zhu, Wei Guo, Hu-Chen Liu
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2022-05-01
シリーズ:Applied Sciences
主題:
オンライン・アクセス:https://www.mdpi.com/2076-3417/12/9/4670
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