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
Link To Document :
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