分析了现有的相似度量方法,提出了一种基于未知度Vague集相似度量的方法,证明该方法满足基本准则,通过实例与现有相似度量方法的比较,说明新的方法区分能力较高,具有一定的有效性和优越性。
A new method of similarity measure based on unknown degree between Vague sets is proposed by analyzing existing similarity measure methods and is proved to satisfy some basic rules. For measuring the similarity of Vague sets, a new concept named differentiation ability is also developed. The validity and advantage of this method are illustrated by simulation results.