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.
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.
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.
本文在综述国内外订单管理和不确定性处理方法研究的基础上，围绕减小bto企业的订单不确定性进行研究。
Based on the review of the international and domestic literature for the orders 'management and the treatment of uncertainty, how to reduce the orders 'uncertainty in BTO enterprises was study.
综述了国内外定量降水预报方法的研究进展及其与水文模型的耦合途径，分析研究了一个定量降水预报不确定性处理器(pup)。
The quantitative precipitation forecasting (QPF) and the coupling of the QPF with hydrologic model, and a precipitation uncertainty processor (PUP) were concisely reviewed and studied.
提出一种基于PROLOG扩充不确定性处理能力的逻辑程序设计语言EXLOGL，并介绍了该语言解释系统的总体结构、知识库设计及演绎求解原理。
A logic programming language EXLOGL based on extended PROLOG is proposed and its interpreting system architecture, knowledge base structure and deductive solution principle are discussed.
提出一种基于PROLOG扩充不确定性处理能力的逻辑程序设计语言EXLOGL，并介绍了该语言解释系统的总体结构、知识库设计及演绎求解原理。
A logic programming language EXLOGL based on extended PROLOG is proposed and its interpreting system architecture, knowledge base structure and deductive solution principle are discussed.
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