DocumentCode
1972018
Title
Risk Assignment Model Based on Ant Colony Algorithm
Author
Zhou Shujing ; Li Shan
Author_Institution
Hebei Univ. of Eng., Handan, China
fYear
2010
fDate
22-23 June 2010
Firstpage
231
Lastpage
234
Abstract
The investment in real estates is a high income and the high risk coexisting investment activity. If cannot consider fully all sorts of risk factor to the entire investment plan´s influence, it will usually present the decision error. In view of the research methods for the previous shortage of investment risk, we propose a risk assignment model which bases on the ant colony algorithm. The example result shows that the risk assignment model based on ant colony algorithm is effective, and this algorithm convergence rate is quick, then it has the promotion application value.
Keywords
decision making; investment; optimisation; property market; risk analysis; ant colony algorithm; decision error; investment activity; investment risk; real estates; risk assignment model; Biological system modeling; Decision making; Heuristic algorithms; Investments; Optimization; Portfolios; Venture capital; Global manufacturing; product data management system;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Cognitive Informatics (ICICCI), 2010 International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-6640-5
Electronic_ISBN
978-1-4244-6641-2
Type
conf
DOI
10.1109/ICICCI.2010.43
Filename
5565993
Link To Document