id: 05648847
dt: a
an: 05648847
au: Kim, Ikno; Watada, Junzo
ti: A fuzzy density analysis of subgroups by means of DNA oligonucleotides.
so: Teodorescu, Horio-Nicolai (ed.) et al., Intelligent systems and
    technologies. Methods and applications. Selected papers based on the
    presentations at the 5th European conference on intelligent systems and
    technologies ECIT 2008, 10‒ 12 July 2008, Iaşi, Romania. Berlin:
    Springer (ISBN 978-3-642-01884-8/hbk; 978-3-642-01885-5/ebook). Studies
    in Computational Intelligence 217, 31-45 (2009).
py: 2009
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-01885-5_2
ab: Summary: 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.
rv: