• DocumentCode
    1891361
  • Title

    Research of AHP-SOM Model and Its Application

  • Author

    Peng, Yan ; Hu, Ziyi

  • Author_Institution
    Capital Normal Univ., Beijing
  • fYear
    2007
  • fDate
    26-27 July 2007
  • Firstpage
    90
  • Lastpage
    94
  • Abstract
    Decision-making in the field of information systems has become more complex due to a larger number of alternatives, multiple and sometimes conflicting goals. In this paper we explore the appropriateness of Analytic Hierarchy Process (AHP) to support construction project bid decision-making. Since AHP can be applied if the decision problem includes multiple objectives, conflicting criteria, incommensurable units, and aims at selecting an alternative from a known set of alternatives. And Self-organizing feature map network (SOM) network can classify input models automatically by learning rules. That is, under the circumstance of no teachers, through repeated studies, it can capture all features of input data and organize them automatically. This paper attempts to establish a link between these two approaches. We combine AHP with SOM approach, explore and establish a new kind of evaluation model. The proposed model is applied to construction project bid system and a proof - of - concept prototype has been developed to demonstrate our model.
  • Keywords
    decision making; self-organising feature maps; AHP-SOM model; analytic hierarchy process; project bid decision-making; self-organizing feature map network; Application software; Data mining; Decision making; Educational institutions; Information systems; Neural networks; Pattern recognition; Power generation economics; Prototypes; Workstations; Analytic hierarchy process; Self-Organizing Feature Maps; evaluation model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2007. ICPCA 2007. 2nd International Conference on
  • Conference_Location
    Birmingham
  • Print_ISBN
    978-1-4244-0971-6
  • Electronic_ISBN
    978-1-4244-0971-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2007.4365418
  • Filename
    4365418