The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
데이터의 통계적 특성을 기반으로 퍼지 파티션의 개수를 달리하여 계층적 퍼지 분류 시스템을 설계하는 방식을 제안한다. 중간 레이어에서 잘못 분류된 패턴의 수를 최소화하기 위해 이전 레이어의 역퍼지화된 출력에서 퍼지 파티셔닝하는 방법도 제시됩니다. 제안된 체계의 효율성은 UCI Machine Learning Repository에 있는 5개 데이터 세트의 결과를 비교하여 입증됩니다.
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부
Chang Sik SON, Yoon-Nyun KIM, Kyung-Ri PARK, Hee-Joon PARK, "Design of Hierarchical Fuzzy Classification System Based on Statistical Characteristics of Data" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 8, pp. 2319-2323, August 2010, doi: 10.1587/transinf.E93.D.2319.
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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.2319/_p
부
@ARTICLE{e93-d_8_2319,
author={Chang Sik SON, Yoon-Nyun KIM, Kyung-Ri PARK, Hee-Joon PARK, },
journal={IEICE TRANSACTIONS on Information},
title={Design of Hierarchical Fuzzy Classification System Based on Statistical Characteristics of Data},
year={2010},
volume={E93-D},
number={8},
pages={2319-2323},
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.},
keywords={},
doi={10.1587/transinf.E93.D.2319},
ISSN={1745-1361},
month={August},}
부
TY - JOUR
TI - Design of Hierarchical Fuzzy Classification System Based on Statistical Characteristics of Data
T2 - IEICE TRANSACTIONS on Information
SP - 2319
EP - 2323
AU - Chang Sik SON
AU - Yoon-Nyun KIM
AU - Kyung-Ri PARK
AU - Hee-Joon PARK
PY - 2010
DO - 10.1587/transinf.E93.D.2319
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2010
AB - 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.
ER -