基于Vague值的扩展的Vague集间的相似度量

SIMILARITY MEASURE BETWEEN VAGUE SETS BASED ON THE EXPANSION OF A VAGUE VALUE

研究Vague值的(tx,fx)扩展的性质,给出Vague集间相似度量公式的公理化定义,提出一类基于(tx,fx)扩展的Vague集之间的相似度量。应用于模式识别的例子表明这类公式是实用的。

The properties of （ tx ,fx ） expansion of a Vague value were studied, and an axiomatic definition of similarity measure between Vague sets was introduced, a class of similarity measures between Vague sets based on （ tx ,fx ） expansion was presented as well. An example used for pattern recognition shows that these formulae are practicable.