摘要
针对属性识别理论模型中置信度λ取值的主观性,提出了灰色接近度的概念,在每一类别的理想模式下,通过计算样品属性测度与理想模式属性测度之间灰色接近度的大小,判断样品所属类别.该方法简单易行,应用实例说明了其有效性.
For the subjectivity of confident degree in the model of attribute recognition,a concept of grey close degree is proposed. Under the ideal pattern,the grey close degree is calculated between the sample and ideal pattern＇ s attribute measure. Then the sample＇ s category is determined. At last, an example is given to prove the rationality and practicability.
出处
《华北水利水电学院学报》
2008年第2期106-108,共3页
North China Institute of Water Conservancy and Hydroelectric Power
关键词
属性数学
属性识别
属性测度
灰色接近度
attribute mathematics
attribute recognition
attribute measure
grey close degree
作者简介
童玉娟（1979-），女，河南新乡人，在读硕士研究生，主要从事经济预测与决策方面的研究
