论文针对图像分割中存在的不确定性问题，通过研究不确定性人工智能中定性和定量的转换模型—云模型，提出一种新的基于云模型的图像分割方法。
This paper researches qualitative and quantitative transformation model-cloud model in uncertain artificial intelligence in order to solve uncertain questions which exist in image segmentation.
研究人工智能的基础工具在80年代后期从逻辑转向了概率，而关于不确定性的理论研究的进展成为了近期许多应用的基础。
The fundamental tools of A.I. shifted from Logic to Probability in the late 1980s, and fundamental progress in the theory of uncertain reasoning underlies many of the recent practical advances.
研究人工智能的基础工具在80年代后期从逻辑转向了概率，而关于不确定性的理论研究的进展成为了近期许多应用的基础。
The fundamental tools of A. I. shifted from Logic to Probability in the late 1980s, and fundamental progress in the theory of uncertain reasoning underlies many of the recent practical advances.
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.
不确定性是智能问题的本质特征，无论是人类智能还是人工智能，都离不开对不确定性的处理。
Uncertainty is the essence character of the intelligent problems, and whether the human intelligence or the artificial intelligence can not avoid coping with the uncertainty.
不确定性科学是一门新兴学科，它与人工智能、人工生命、经济学等科学有着广泛的联系。
Uncertainty science is a new study emerging, and extensively related to artificial intelligence, artificial life and economics.
随着不确定性研究的深入，必将为人工智能的应用提供更广阔的空间。
With a detailed research of uncertainty, the application of artificial intelligence will be provided more room.
粗糙集理论是一种新的处理模糊和不确定性知识的数学工具，在人工智能及数据挖掘等众多领域已经得到了广泛的应用。
Rough set theory is emerging as a powerful tool for dealing with vagueness and uncertainty of facts, which has important applications to artificial intelligence and data mining.
粗糙集理论是一种新的处理模糊和不确定性知识的软计算工具，在人工智能及认知科学等众多领域已经得到了广泛的应用。
Rough set theory is emerging as a powerful tool for dealing with vagueness and uncertainty of facts, which has important applications to artificial intelligence and cognitive science.
为此，人工智能需要研究不确定性推理方法，以满足客观问题的需求。
In order to cater to the demand of objective problems, the study of uncertain reasoning is needed in the artificial intelligence areas.
为此，人工智能需要研究不确定性推理方法，以满足客观问题的需求。
In order to cater to the demand of objective problems, the study of uncertain reasoning is needed in the artificial intelligence areas.
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