文章基本信息

标题：A New Method to Measure the Similarity between Features in Machine Learning Using the Triangular Fuzzy Number
本地全文：下载
作者：Hassan Nosrati Nahook ; Mahdi Eftekhari
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：2
期号：6
页码：511-515
出版社：International Journal of Soft Computing & Engineering
摘要：In this paper, we present a new method to measure the similarity between features using fuzzy numbers. The proposed method uses the concept of geometry to calculate the degree of similarity between triangular fuzzy numbers defined on the features. We also prove some properties of the proposed similarity measure and use different data sets to compare the proposed method with existing methods. In the feature selection methods, the proposed similarity measure compared with other fuzzy similarity measures can be more efficient.
关键词：Similarity Measure; Symmetrical or Asymmetrical;Triangular Fuzzy Number; Features.