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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...

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Bibliografiske detaljer
Main Authors: Yu-Jie Zhu, Wei Guo, Hu-Chen Liu
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-05-01
Serier:Applied Sciences
Fag:
Online adgang:https://www.mdpi.com/2076-3417/12/9/4670
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