Fuzzy representation is used to capture the inherent uncertainty of emotions and cognition.
为了表达情感和认知固有的不确定性，模型中用到了模糊表达。
The parallelism, distribution and capability of learning of neural net heuristics provide a new way for knowledge acquisition, knowledge representation and uncertainty reasoning in expert systems.
神经元网络启发式的并行、分布特征和可学习性为专家系统的知识表达和获取、不确定性推理提供了新的途径。
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.
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。
The graphical representation of positional uncertainty provides the assessment of the quality of positional data with a visual means.
位置不确定性的图形描述为评价位置观测数据的质量提供了可视化的方法。
The graphical representation of positional uncertainty provides the assessment of the quality of positional data with a visual means.
位置不确定性的图形描述为评价位置观测数据的质量提供了可视化的方法。
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