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Design of Hierarchical Fuzzy Classification System Based on Statistical Characteristics of Data

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Author(s)
Chang Sik SONYoon-Nyun KIMKyung-Ri PARKHee-Joon PARK
Keimyung Author(s)
Kim, Yoon NyunPark, Hee Jun
Department
Dept. of Internal Medicine (내과학)
Dept. of Biomedical Engineering (의용공학과)
Journal Title
IEICE Transactions on Information and Systems
Issued Date
2010
Volume
E93-D
Issue
8
Abstract
A scheme for designing a hierarchical fuzzy classification system with a different number of fuzzy partitions based on statistical characteristics of the data is proposed. To minimize the number of misclassified patterns in intermediate layers, a method of fuzzy partitioning from the defuzzified outputs of previous layers is also presented. The effectiveness of the proposed scheme is demonstrated by comparing the results from five datasets in the UCI Machine Learning Repository
Keimyung Author(s)(Kor)
김윤년
박희준
Publisher
School of Medicine
Citation
Chang Sik SON et al. (2010). Design of Hierarchical Fuzzy Classification System Based on Statistical Characteristics of Data. IEICE Transactions on Information and Systems, E93-D(8), 2319–2323. doi: 10.1587/transinf.E93.D.2319
Type
Article
ISSN
0916-8532
DOI
10.1587/transinf.E93.D.2319
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/35849
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Biomedical Engineering (의용공학과)
1. School of Medicine (의과대학) > Dept. of Internal Medicine (내과학)
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