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

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

    研究成果: Article

    8 引用 (Scopus)

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    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.

    元の言語English
    記事番号6048012
    ページ(範囲)139-151
    ページ数13
    ジャーナルIEEE Transactions on Nanobioscience
    10
    発行部数3
    DOI
    出版物ステータスPublished - 2011 9

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    ASJC Scopus subject areas

    • Pharmaceutical Science
    • Medicine (miscellaneous)
    • Bioengineering
    • Computer Science Applications
    • Biotechnology
    • Biomedical Engineering
    • Electrical and Electronic Engineering

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