• DocumentCode
    475918
  • Title

    Applying consistent fuzzy preference relation to select merger strategy for financial organizations

  • Author

    Wang, Tien-Chin ; Lin, Ying-ling

  • Author_Institution
    Dept. of Inf. Manage., I-Shou Univ., Kaohsiung
  • Volume
    1
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    222
  • Lastpage
    227
  • Abstract
    This investigation establishes an analytical hierarchy framework to help banks choose merger strategies based on six main criteria. The consistent fuzzy preference relation is used to improve decision making consistency and effectiveness. The analytical results demonstrate that risk management and financial composition of banks are the major considerations for banks in strategy selection. Furthermore, analytical results demonstrate the best futuristic policy is ldquomerging with other financial organizations to become part of an existing bankrdquo.
  • Keywords
    banking; corporate acquisitions; decision making; fuzzy set theory; risk management; strategic planning; banks financial composition; consistent fuzzy preference relation; decision making; financial organizations; merger strategy; risk management; strategy selection; Companies; Corporate acquisitions; Cybernetics; Decision making; Government; Information management; Machine learning; Merging; Profitability; Risk management; Financial merger; consistent fuzzy preference relation; financial holding company; multi-criteria decision making;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620408
  • Filename
    4620408