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

Ikno Kim, Junzo Watada

    Research output: Contribution to journalArticle

    13 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Article number5061511
    Pages (from-to)181-191
    Number of pages11
    JournalIEEE Transactions on Nanobioscience
    Volume8
    Issue number2
    DOIs
    Publication statusPublished - 2009 Jun

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    Decision Making
    DNA
    Decision making
    Industrial engineering
    Systems engineering
    Technology
    Industry

    Keywords

    • Decision making
    • DNA-based algorithm
    • Hierarchically restructured digraph
    • Interpretive structural modeling (ISM)
    • Splicing operation

    ASJC Scopus subject areas

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

    Cite this

    Decision making with an interpretive structural modeling method using a DNA-based algorithm. / Kim, Ikno; Watada, Junzo.

    In: IEEE Transactions on Nanobioscience, Vol. 8, No. 2, 5061511, 06.2009, p. 181-191.

    Research output: Contribution to journalArticle

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