A DNA-based algorithm for minimizing decision rules: A rough sets approach

Ikno Kim*, Yu Yi Chu, Junzo Watada, Jui Yu Wu, Witold Pedrycz

*この研究の対応する著者

    研究成果: Article査読

    8 被引用数 (Scopus)

    抄録

    Rough sets are often exploited for data reduction and classification. While they are conceptually appealing, the techniques used with rough sets can be computationally demanding. To address this obstacle, the objective of this study is to investigate the use of DNA molecules and associated techniques as an optimization vehicle to support algorithms of rough sets. In particular, we develop a DNA-based algorithm to derive decision rules of minimal length. This new approach can be of value when dealing with a large number of objects and their attributes, in which case the complexity of rough-sets-based methods is NP-hard. The proposed algorithm shows how the essential components involved in the minimization of decision rules in data processing can be realized.

    本文言語English
    論文番号6048012
    ページ(範囲)139-151
    ページ数13
    ジャーナルIEEE Transactions on Nanobioscience
    10
    3
    DOI
    出版ステータスPublished - 2011 9

    ASJC Scopus subject areas

    • 薬科学
    • 医学(その他)
    • バイオエンジニアリング
    • コンピュータ サイエンスの応用
    • バイオテクノロジー
    • 生体医工学
    • 電子工学および電気工学

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