Polish (Poland)English (United Kingdom)

Rough--neuro--fuzzy structures for classification with missing data

Type of Publication: Article
Year: 2009
Authors:
  • R. Nowicki
Journal: IEEE Trans. on Systems, Man, and Cybernetics---Part B: Cybernetics
Volume: 39
Number: 6
Pages: 1334-1347
BibTex:
Abstract:
The paper presents a new approach to fuzzy classification in the case of missing data. The rough fuzzy sets are incorporated into Mamdani type neuro-fuzzy structures and the rough-neuro-fuzzy classifier is derived. Theorems which allow to determine the structure of a rough-neuro-fuzzy classifier are given. Several experiments illustrating the performance of the rough-neuro-fuzzy classifier working in the case of missing features are described.

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