• DocumentCode
    511146
  • Title

    Notice of Retraction
    Research and Implementation of AHP-Based Method Base - Model Base Application of Hierarchical Model

  • Author

    Lan Gan ; Xuehu Wang ; Rong Li

  • Author_Institution
    Sch. of Inf. Eng., East China Jiao Tong Univ., Nanchang, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    107
  • Lastpage
    110
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    This paper introduces that the representation and storage of hierarchical model via a database table, achieves the dynamic generation and management of model. It main achieves model base based on AHP. That addresses a number of unstructured or semi-structured problems such as assessment and prediction in the modeling. Focusing on the creation of their corresponding AHP-based method base is to solve practical problems. Experiments show that this method base can be well integrated with model base. So it will be applied in common AHP cases.
  • Keywords
    database management systems; AHP-based method base; analytic hierarchy process; database table; hierarchical model; semi-structured problem; unstructured problem; Application software; Conference management; Data engineering; Databases; Electronic mail; Engineering management; Gallium nitride; Knowledge engineering; Knowledge management; Software engineering; AHP; method base; model base; structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-0-7695-3916-4
  • Type

    conf

  • DOI
    10.1109/KESE.2009.36
  • Filename
    5383609