摘要
给出了n维正态型模糊集的模糊模式识别方法,并利用该法对来自长白山脚下相邻四县的大米进行了产地识别,以个体为识别对象,识别正确率为92%;以群体为识别对象,识别正确率为100%.该法考查的信息全面,识别率高,计算量相对较小,可操作性强。值得推广使用。
In this paper, the Pattern Recognition Method on N dimensional normal fuzzy set be presented, which has been used to discriminate rice growing area varying in four adjacent counties located at the foot of the Changbai Mountain. The Accuracy rate of Recognition is 92%; when the Objects Identity is a individual, and at the same time when the Recognized Objects is a group the precision rate of Identity is 100%. Comprehensive information is tested by this approach, which has higher recognition rate,a relative small amount of calculation and remarkable maneuverability, and is worth to be popularized.
出处
《模糊系统与数学》
CSCD
北大核心
2015年第4期186-190,共5页
Fuzzy Systems and Mathematics
基金
黑龙江省教育厅科学技术研究项目(12531590)
关键词
n元正态型模糊集
模糊模式识别
近红外光谱
大米产地
n Dimensional Normal Fuzzy Set
Near Infrared Spectroscopy
Fuzzy Pattern Recognition
The Origin of Rice
作者简介
宋明娟（1962-），女，黑龙江鸡西人，教授，研究方向：数理统计，模糊数学
朱思宇（1988-），男，黑龙江鸡西人，研究生，研究方向：模糊数学
杨丽（1990-），女，山西朔州人，研究生，研究方向：系统工程。
