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Noise Effects in Fuzzy Modelling Systems

P. J. Costa Branco·J. A. Dente
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Abstract

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.

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P. J. Costa Branco, J. A. Dente. 2000-09-30. Noise Effects in Fuzzy Modelling Systems. https://arxiv.org/abs/cs/0010002

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