Decision making with an interpretive structural modeling method using a DNA-based algorithm

Ikno Kim*, Junzo Watada

*この研究の対応する著者

    研究成果: Article査読

    16 被引用数 (Scopus)

    抄録

    A novel method of interpretive structural modeling (ISM) using a DNA-based algorithm is proposed in this paper. ISM is commonly used when the current technology and its application to business administration, industrial and systems engineering, organizational behavior, etc., concern complicated or problematic issues, or situations among an element set of the given problem context for making decisions. When structuring a problem with a large number of elements in an ISM process, the crossings among elements should be minimized. This computationally complex minimization is NP-complete. The proposed algorithm describes how to calculate complex relations among elements to create a hierarchically restructured digraph. This paper also presents a new approach for applying a biological method to ISM to measure the efficiency of the algorithm in calculating a large number of elements for decision making.

    本文言語English
    論文番号5061511
    ページ(範囲)181-191
    ページ数11
    ジャーナルIEEE Transactions on Nanobioscience
    8
    2
    DOI
    出版ステータスPublished - 2009 6月

    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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