DocumentCode :
2964227
Title :
Risk measurement of decision-making in acquisitions based on genetic algorithm and BP neural network
Author :
Hu, Yanrong ; Liu, Hongjiu ; Ma, Weimin
Author_Institution :
Dept. of Manage. Eng., Changshu Inst. of Technol., Changshu, China
fYear :
2009
fDate :
8-11 Dec. 2009
Firstpage :
818
Lastpage :
821
Abstract :
Appropriate methods are helpful to measure risk. The risk is objective in acquisitions. It resources from subjective risk, morality risk, information asymmetry risk, law risk, system risk, policy risk and market risk during the process of mergers and acquisitions decision-making. In the different stages of decision-making, the emphases of risks are different Index of measuring risks can be established by industrial experts. The case demonstrates that genetic algorithm and BP neural network are good tools to measure the risks.
Keywords :
backpropagation; decision making; genetic algorithms; neural nets; risk analysis; BP neural network; acquisitions decision-making; genetic algorithm; risk measurement; Biological cells; Corporate acquisitions; Decision making; Engineering management; Genetic algorithms; Genetic engineering; Investments; Neural networks; Risk management; Technology management; Acquisitions; BP neural network; genetic algorithm; risk measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
Type :
conf
DOI :
10.1109/IEEM.2009.5372905
Filename :
5372905
Link To Document :
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