在人工智能早期，对不确定性处理被认为是一个基本的哲学障碍。

In the early days of ai, dealing with uncertainty was considered a fundamental philosophical hurdle.

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传统的随机可靠性方法是目前用于不确定性处理的最为常用的方法。

The traditional stochastic reliability method is an important tool to handling with uncertainties, and is widely used in engineering.

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该文提出用语言云模型用于KDD中知识表达和不确定性处理，引入了多维云模型作为一维模型的扩展。

This paper presents linguistic cloud models for knowledge representation and uncertainty handling in KDD. Multi dimensional cloud models are introduced as the extension of one dimensional ones.

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