Computer Science – Neural and Evolutionary Computing
Scientific paper
2000-09-30
In: Computational Intelligence and Applications, pp. 103-108, World Scientific and Engineering Society Press, Danvers, USA, 19
Computer Science
Neural and Evolutionary Computing
6 pages
Scientific paper
Noise is source of ambiguity for fuzzy systems. Although being an important aspect, the effects of noise in fuzzy modeling have been little investigated. This paper presents a set of tests using three well-known fuzzy modeling algorithms. These evaluate perturbations in the extracted rule-bases caused by noise polluting the learning data, and the corresponding deformations in each learned functional relation. We present results to show: 1) how these fuzzy modeling systems deal with noise; 2) how the established fuzzy model structure influences noise sensitivity of each algorithm; and 3) whose characteristics of the learning algorithms are relevant to noise attenuation.
Costa Branco P. J.
Dente Joaquim A.
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