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Derivation of fuzzy membership functions using one-dimensional self-organizing maps

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2 Author(s)
Sandidge, T.E. ; Smart Eng. Syst. Lab., Missouri Univ., Rolla, MO, USA ; Dagli, Cihan H.

This paper discusses a system of self-organizing maps that approximate the fuzzy membership function for an arbitrary number of fuzzy classes. This is done through the ordering and clustering properties of one-dimensional self-organizing maps and iterative approximation of conditional probabilities of nodes in one map being the winner given that a node in the other map is the winner. Application of this system reduces fuzzy membership design time to that required to train the system of self-organizing maps

Published in:
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on  (Volume:2 )

Date of Conference: 12-15 Oct 1997

Page(s):
995 - 998 vol.2
Meeting Date :
12 Oct 1997-15 Oct 1997
ISSN :
1062-922X
Print ISBN:
0-7803-4053-1
INSPEC Accession Number:
5753349
Conference Location :
Orlando, FL
Digital Object Identifier :
10.1109/ICSMC.1997.638077
Product Type:
Conference Publications

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