• DocumentCode
    3095231
  • Title

    Adaptive Fuzzy Cognitive Maps for Identification of Cause and Effect

  • Author

    Jassbi, Javad ; Mohamadnejad, Farshid

  • Author_Institution
    Dept. of Ind. Manage., Islamic Azad Univ., Tehran, Iran
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    78
  • Lastpage
    83
  • Abstract
    Strategy mapping is the most important task in building a Balanced Scorecard system, and so must be the first of the sequential stepwise processes for BSC system design. The process of building the strategy map shows, it is a human centric process in which all executives´ preferences, experiences and knowledge are in place to reach to a uniform consensus. The managerial board of organization, as the body of decision making team, starts by their combination and assimilation of their knowledge and experiences, to build logical relationships among the strategic objectives. It is believed that by proposing a proper framework for structuring the process of strategy mapping, there would be possible to follow the procedure in a more stepwise procedure. In this paper, we apply adaptive fuzzy cognitive map to identify cause and effect relationships among the strategic objectives of strategy map.
  • Keywords
    cognitive systems; decision making; fuzzy set theory; knowledge acquisition; knowledge management; organisational aspects; strategic planning; BSC system design; adaptive fuzzy cognitive map; balanced scorecard system; decision making team; human centric process; managerial board; sequential stepwise process; strategy mapping; Buildings; Companies; Fuzzy cognitive maps; Humans; Training; Adative fuzzy cognitive maps; Cause and effect relationships; Strategy map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2011 Third International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4577-0975-3
  • Electronic_ISBN
    978-0-7695-4482-3
  • Type

    conf

  • DOI
    10.1109/CICSyN.2011.28
  • Filename
    6005658