• DocumentCode
    2745562
  • Title

    A neural network model for the decision-making process based on AHP

  • Author

    Matsuda, Satoshi

  • Author_Institution
    Dept. of Math. Inf. Eng., Nihon Univ., Chiba, Japan
  • Volume
    2
  • fYear
    2005
  • fDate
    31 July-4 Aug. 2005
  • Firstpage
    821
  • Abstract
    A neural network model is proposed for the decision-making process based on the analytic hierarchy process, abbreviated as AHP [Saaty, T. L., 1972]. Although there have been many attempts at developing the neural models of intellectual activities of human beings, to our knowledge there have been few attempts at developing the neural model of decision-making process, which is a typical intellectual activity. By viewing AHP as a model of decision-making process, we present a neural model of the decision-making process. Furthermore, we show that the model also works naturally in more practical situations where we cannot get all the information to make decision. Finally, we apply the proposed neural network to some examples and illustrate its validity through simulations.
  • Keywords
    decision making; neural nets; AHP; analytic hierarchy process; decision-making process; neural network model; Associative memory; Decision making; Educational institutions; Electronic mail; Feedforward neural networks; Humans; Information processing; Natural languages; Neural networks; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-9048-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.2005.1555958
  • Filename
    1555958