The relations between similarity measure and distance measure of Vague sets are analyzed.
讨论了相似测度与距离测度之间的关系。
The two classes of high distinguishing ability of similarity measures between Vague sets are presented, and an example is used to interpret that these formulas are practical.
提出两类高区能力的Vague集之间的相似度量公式，应用实例表明它们是实用的。
Vague linguistics is a new branch which arose in the research of the application of"Fuzzy Sets".
模糊语言学就是在运用模糊集合论研究模糊语言中产生的一门新兴学科。
Fuzzy sets and fuzzy logic are important mathematical tools for processing uncertain and vague information, which has been widely applied to approximate reasoning and so on.
模糊集与模糊逻辑是处理大量存在的不确定性与模糊性信息的重要数学工具，在近似推理等领域有着广泛的应用。
Rough model is proposed to build vague regions based on upper and lower approximate sets of rough set theory after the definition of rough regions and rough model.
在粗糙集的基本概念上定义了二维离散空间中的粗糙区域和粗糙模型，基于粗糙模型描述了二维离散空间中的模糊地理对象，并给出了粗糙区域的类型。
Rough model is proposed to build vague regions based on upper and lower approximate sets of rough set theory after the definition of rough regions and rough model.
在粗糙集的基本概念上定义了二维离散空间中的粗糙区域和粗糙模型，基于粗糙模型描述了二维离散空间中的模糊地理对象，并给出了粗糙区域的类型。
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