A fuzzy density analysis of subgroups by means of DNA oligonucleotides

Ikno Kim, Junzo Watada

    研究成果: Chapter

    1 被引用数 (Scopus)

    抄録

    In complicated industrial and organizational relationships between employees or workers, it is difficult to offer good opportunities for their psychological and skill growth, since our progressive information and industrial societies have created many menial tasks. Redesigning subgroups in a personnel network for work rotation is a method that organizes employees appropriately to address these types of problems. In this article, we focus on a fuzzy density analysis of subgroups where employees are connected via their relationships with fuzzy values. However, it becomes extremely hard to rearrange those employees when there are vast numbers of them, meaning it is an NP-hard problem. In the personnel network, all the possible cohesive subgroups can be detected by making the best use of DNA oligonucleotides, which is also applied as a method by which to rearrange employees via fuzzy values based on the results of a fuzzy density analysis.

    本文言語English
    ホスト出版物のタイトルStudies in Computational Intelligence
    ページ31-45
    ページ数15
    217
    DOI
    出版ステータスPublished - 2009

    出版物シリーズ

    名前Studies in Computational Intelligence
    217
    ISSN(印刷版)1860949X

    ASJC Scopus subject areas

    • Artificial Intelligence

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