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A neural network for fast inferencing on a fuzzy knowledge base

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3 Author(s)
K. S. Kumar ; Naval Phys. & Oceanogr. Lab., Kochi, India ; M. Sparancia ; A. Unnikrishnan

The authors discuss a framework where fast inferences could be made from a fuzzy knowledge base of examples using neural networks. They sketch a scheme for defuzzifying the example base into a set of similarity vectors using a trait-adjusted similarity measure between a pair of fuzzy terms, and then training a neural network with these similarity vectors. A multilayer feedforward neural network with backpropagation learning rule was used

Published in:

Computer Software and Applications Conference, 1992. COMPSAC '92. Proceedings., Sixteenth Annual International

Date of Conference:

21-25 Sep 1992