• DocumentCode
    2337735
  • Title

    Evaluate enterprise resource planning based on rough-set unascertained model

  • Author

    Huang, Huiqun

  • Author_Institution
    Dept. of Inf. Manage., Hunan Univ. of Finance & Econ., Changsha, China
  • fYear
    2012
  • fDate
    3-5 June 2012
  • Firstpage
    506
  • Lastpage
    510
  • Abstract
    Enterprise Resource Planning (ERP) systems are viewed as a promising and powerful information technology solution for dealing with the impact of competition advancements and enabling corporations to improve productivity and to operate more efficiently. Analyzing evaluation index of impacting the enterprise resource planning, this paper simplifies the indicators by applying the rough set theory, and gets the main indicators of impacting the enterprise resource planning, and then applies unascertained evaluation model to have an overall evaluation. Finally, analyze the specific example to demonstrate the effectiveness of the method.
  • Keywords
    enterprise resource planning; rough set theory; ERP; competition advancements; enterprise resource planning; evaluation index analysis; information technology solution; productivity improvement; rough-set unascertained model; Cities and towns; Decision making; Enterprise resource planning; Indexes; Information technology; Production; Enterprise resource planning; attribute reduction; rough set; unascertained;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Applications (ISRA), 2012 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-2205-8
  • Type

    conf

  • DOI
    10.1109/ISRA.2012.6219235
  • Filename
    6219235