针对现有的Vague集距离测度的计算方法，研究通过具体的Vague集数据，说明这些计算方法存在一定的缺陷，为此，提出一种新的两个Vague值的距离测度公式，证明了距离测度具有非负性、介值性和三角不等式等优良的性质。通过实例说明了新的Vague集距离测度在模式识别中的应用。

Aiming at the existing methods of Vague set distance measurement, this paper points out that these methods have some defects through specific vague set data. Therefore, a new distance measurement formula for two Vague values is proposed in this paper, which proves that the distance measurement has good properties, such as non-negative, intermediate and triangle inequality. The application of new Vague set distance measure in pattern recognition is illustrated by an example