• 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