一种改进的Vague集距离测度及其在模式识别中的应用  

An Improved Vague Set Distance Measure and Its Application to Pattern Recognition

作　　者：胡汭 陈华友 HU Rui;CHEN Hua-you(College of Mathematics and Computer Science,Tongling University,Tongling Anhui 244000;School of Mathematical Sciences,Anhui University,Hefei Anhui 230601)

机构地区：[1]铜陵学院数学与计算机学院,安徽铜陵244000 [2]安徽大学数学科学学院,安徽合肥230601

出　　处：《巢湖学院学报》2020年第3期79-81,103,共4页Journal of Chaohu University

基　　金：国家自然科学基金项目(项目编号:71871001)。

摘　　要：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.

关 键 词：VAGUE值 距离测度 性质 模式识别 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]