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