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

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概要

• 論文の詳細を見る

• 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.

• （社）電子情報通信学会の論文
• 2010-08-01

著者

• Son Chang

  Dept. Of Chem. Eng. Kyung Hee Univ.

• Park Hee-joon

  Dept. Of Biomedical Engineering School Of Medicine Keimyung University

• Son Chang

  Dept. Of Medical Informatics School Of Medicine Keimyung University

• Kim Yoon-nyun

  Dept. Of Internal Medicine School Of Medicine Keimyung University

• PARK Kyung-Ri

  CheongShim International Academy

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

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