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
Link To Document :
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