Construction of fuzzy membership functions using interactive self-organizing maps

Thomas E. Sandidge Jr.; Cihan H. Dagli

doi:10.1117/12.304817

25 March 1998 Construction of fuzzy membership functions using interactive self-organizing maps

Thomas E. Sandidge Jr., Cihan H. Dagli

Proceedings Volume 3390, Applications and Science of Computational Intelligence; (1998) https://doi.org/10.1117/12.304817
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

This paper presents a Kohonen-like mapping that eliminates or reduces four limitations of the Kohonen maps. The described network is invariant to scale, very resistant to 'automatic selection of feature dimensions,' results in strictly ordered clusters of ascending/descending magnitude, and may allow a greater amount of information to be gleaned from high dimensional data sets. The network treats each input component separately but each map is influenced via inter-map connections. Unfortunately, processing time increases combinatorially as the number of input components and number of neurons per component increases. As a demonstration, membership functions are constructed for a four variable data set with minimal parameter setting, the most crucial being the number of classes per input component.

Citation Download Citation

Thomas E. Sandidge Jr. and Cihan H. Dagli "Construction of fuzzy membership functions using interactive self-organizing maps", Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); https://doi.org/10.1117/12.304817

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