Rule weights in a neuro-fuzzy system with a hierarchical domain partition

Simiński, Krzysztof

doi:10.2478/v10006-010-0025-3

Abstract

The paper discusses the problem of rule weight tuning in neuro-fuzzy systems with parameterized consequences in which rule weights and the activation of the rules are not interchangeable. Some heuristic methods of rule weight computation in neuro-fuzzy systems with a hierarchical input domain partition and parameterized consequences are proposed. Several heuristics with experimental results showing the advantage of their usage are presented.

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Rule weights in a neuro-fuzzy system with a hierarchical domain partition

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