• DocumentCode
    1822621
  • Title

    An incomplete information-theoretic study of the optimization of stripping non-performance assets caused by the Energy Enterprise Crisis

  • Author

    Yang Hai-Bo ; Wang An-jian ; Pankhurst, Matthew M.

  • Author_Institution
    Res. Center for Strategy of Global Miner. Resources, Beijing, China
  • fYear
    2011
  • fDate
    25-27 Nov. 2011
  • Firstpage
    21
  • Lastpage
    24
  • Abstract
    In accordance with the characteristics of non-performance asset results from the Energy Enterprise Crisis, this paper conducts the routing optimizing module of stripping non-performance assets resulting from the Energy Enterprise Crisis under incomplete information within Incomplete Information Theory. This paper establishes the integrated optimization module and outlines the decision methods and implementation steps for the module. This paper will provide evidence for decision-making regarding the maintenance and stable increase of the value of uncertain assets in an enterprise.
  • Keywords
    decision making; information theory; optimisation; decision making; energy enterprise crisis; incomplete information theory; information-theoretic study; integrated optimization module; routing optimizing module; stripping nonperformance assets; Crisis management; Economics; Investments; Optimization; Programming; Vectors; crisis management; incomplete information; non-performance assets; routing optimization; strip-off; stripping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Systems for Crisis Response and Management (ISCRAM), 2011 International Conference on
  • Conference_Location
    Harbin, Heilongjiang
  • Print_ISBN
    978-1-4577-0369-0
  • Type

    conf

  • DOI
    10.1109/ISCRAM.2011.6184072
  • Filename
    6184072