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

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

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