Studies in Fuzziness and Soft Computing

Kolman, Eyal; Margaliot, Michael

In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB.

The FARB-ANN equivalence integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for knowledge-based neurocomputing in artificial neural networks.

Details

Published by: Springer

Publication Date: 2009-01-17

Format: Hardcover

ISBN-13: 9783540880769

DOI: 10.1007/978-3-540-88077-6

Dimensions: 235cm x155cm

Pages: 100