Research on Classifier of MultiDimensional Data Based on Radar Chart Mapping and Fuzzy Rule Reasoning

Author

Meng, Hui ; Hong, Wenxue ; Wang, Liqiang ; Song, Jialin

Author_Institution

Dept. of Biomed. Eng., Yanshan Univ., Qinhuangdao

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9921

Lastpage

9925

Abstract

A novel method for designing the classifier of multidimensional data was proposed, which used radar chart of multi-statistics to show multidimensional data and applied fuzzy rules to recognize the radar chart in order to implement automatic classification. Different multidimensional data formed different radar chart and distinguished different category. The treatment of radar chart gave prominence to tiny variable that conduced to the classification so that the information of all variables was fully used. Testing data of 132 compound oil samples suggests that this classifier may accurately distinguish all compound oils from each other except for several illogical samples and presents better result of category and precision

Keywords

data analysis; fuzzy reasoning; fuzzy set theory; pattern classification; statistics; MATLAB; automatic classification; fuzzy rule reasoning; multidimensional data; multistatistics; pattern classification; radar chart mapping; Biomedical engineering; Design methodology; Electronic mail; Fuzzy control; Fuzzy reasoning; MATLAB; Multidimensional systems; Petroleum; Radar; Testing; MATLAB; classifier; fuzzy rule; multi-statistics; radar chart;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713936

Filename

1713936