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