Design of Hierarchical Fuzzy Classification System Based on Statistical Characteristics of Data
- Affiliated Author(s)
- 김윤년; 박희준
- Alternative Author(s)
- Kim, Yoon Nyun; Park, Hee Jun
- Journal Title
- IEICE Transactions on Information and Systems
- ISSN
- 0916-8532
- Issued Date
- 2010
- 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
- 공개 및 라이선스
-
- 파일 목록
-
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.