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.
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。
It is a technique of qualitative reasoning, and seen a computational intelligence, which can be used to solve the self-adapting behaviors based on transcendental knowledge.
它是一种定性推理技术，也可以看作是一种计算智能，能有效地解决基于先验知识的自适应行为。
Qualitative spatial reasoning combines qualitative reasoning, spatial reasoning and artificial intelligence together. It has become a hot topic in the research of artificial intelligence.
定性空间推理结合了定性推理、空间推理与人工智能，它已经成为人工智能领域的一个研究热点。
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