Abstract
An RBF neural network model with fuzzy triangular numbers as inputs is set up to solve fuzzy multi-attribute decision making (MADM) problems. The model can determine the weights of attributes automatically so that weights are more objectively and accurately distributed. In this model, decision maker’s specific preferences are considered in the determination of weights. It is simple, and can give objective results while taking into decision maker’s subjective intensions. A numerical example is given to illustrate the method.
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© 2006 Springer-Verlag Berlin Heidelberg
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Liu, H., Kong, F. (2006). A New Fuzzy MADM Method: Fuzzy RBF Neural Network Model. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_118
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DOI: https://doi.org/10.1007/11881599_118
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45916-3
Online ISBN: 978-3-540-45917-0
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