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Browse Journals & Magazines > Systems, Man, and Cybernetics ...> Volume:39 Issue:6 Help

Rough Neuro-Fuzzy Structures for Classification With Missing Data

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1 Author(s)
Nowicki, R. ; Dept. of Comput. Eng., Czestochowa Univ. of Technol., Czestochowa, Poland

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.

Published in:
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on  (Volume:39 ,  Issue: 6 )

Date of Publication: Dec. 2009

Page(s):
1334 - 1347
ISSN :
1083-4419
INSPEC Accession Number:
10879838
Digital Object Identifier :
10.1109/TSMCB.2009.2012504
Product Type:
Journals & Magazines
Date of Publication :
10 April 2009
Date of Current Version :
22 September 2009
Issue Date :
Dec. 2009
Sponsored by :
IEEE Systems, Man, and Cybernetics Society
PubMed ID :
19366645

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