Journal
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Volume 39, Issue 6, Pages 1334-1347Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMCB.2009.2012504
Keywords
Classification; fuzzy sets; missing data; neuro-fuzzy architectures; rough sets
Categories
Funding
- Foundation for Polish Science
- Polish Ministry of Science and Higher Education
- Special Research Project
- Polish-Singapore Research Project
- Research Project
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This 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 that allow the determination of 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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