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多维数据雷达图和模糊推理的分类器研究
引用本文:洪文学,孟辉,王立强.多维数据雷达图和模糊推理的分类器研究[J].中国计量学院学报,2007,18(1):1-5.
作者姓名:洪文学  孟辉  王立强
作者单位:燕山大学电气工程学院生物医学工程系,河北,秦皇岛,066004
基金项目:国家自然科学基金;高等学校博士学科点专项科研项目
摘    要:提出了一种新颖的基于多维数据雷达图表示原理结合模糊推理规则的自动分类器设计方法.该方法首先采用多元分析中的雷达图表示多维数据,建立已知类模板,然后应用模糊推理方法识别未知类的雷达图形,应用模板匹配法确定其归属,从而完成自动分类.基于混合油品132个测试数据的实验表明,此分类器可以将全部合理混合油品做出正确分类,且具有良好的分类效果和分类精度.

关 键 词:雷达图  模糊推理  分类器  模板  多维数据
文章编号:1004-1540(2007)01-0001-05
修稿时间:2007-01-04

Research on classifier of multidimensional data based on radar chart mapping and fuzzy reasoning
HONG Wen-xue,MENG Hui,WANG Li-qiang.Research on classifier of multidimensional data based on radar chart mapping and fuzzy reasoning[J].Journal of China Jiliang University,2007,18(1):1-5.
Authors:HONG Wen-xue  MENG Hui  WANG Li-qiang
Affiliation:Department of Biomedical Engineering, Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Abstract:A novel method for the classifier of multidimensional data based on radar chart mapping and fuzzy rule reasoning is proposed. The method uses radar chart of multi-statistics to show multidimensional data, from which foregone category template is upbuih. With it, automatic classification is realized by applying fuzzy rules to recognize radar chart of unknown category and by eamparing it with the template. Based on the testing data of 132 compound oil samples, it is suggested that this classifier may accurately distinguish all compound oils from each other except for several illogical samples, and it shows better result of category and precision.
Keywords:radar chart mapping  fuzzy reasoning  classifier  template  multidimensional data
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