• DocumentCode
    1266319
  • Title

    Efficient Role Transfer Based on Kuhn–Munkres Algorithm

  • Author

    Haibin Zhu ; Mengchu Zhou

  • Author_Institution
    Dept. of Comput. Sci. & Math., Nipissing Univ., North Bay, ON, Canada
  • Volume
    42
  • Issue
    2
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    491
  • Lastpage
    496
  • Abstract
    Many-to-Many (M-M) role transfers are generalized problems that are encountered in collaboration. Exhaustive-search-based algorithms are too computationally intensive. This paper introduces the Kuhn-Munkres (or Hungarian) algorithm for the general assignment problems (GAPs) and proposes a new efficient algorithm to solve the M-M role transfer problems by converting them to the GAPs. The experiments and results validate the proposed algorithms.
  • Keywords
    groupware; information systems; organisational aspects; search problems; Kuhn-Munkres algorithm; collaboration; exhaustive search based algorithms; general assignment problems; many-to-many role transfers; role transfer; Collaboration; Complexity theory; Heuristic algorithms; Humans; Minimization; Polynomials; Role transfer; Algorithm; emergency management; information systems; organization; role; role transfer;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4427
  • Type

    jour

  • DOI
    10.1109/TSMCA.2011.2159587
  • Filename
    5942193