Design Methodology for Rough Neuro-Fuzzy Classification with Missing Data

2015 ◽  
Author(s):  
Robert K. Nowicki ◽  
Marcin Korytkowski ◽  
Bartosz A. Nowak ◽  
Rafal Scherer
Keyword(s):  
Missing Data ◽  
Design Methodology ◽  
Fuzzy Classification ◽  
Neuro Fuzzy

scholarly journals On classification with missing data using rough-neuro-fuzzy systems

2010 ◽  
Vol 20 (1) ◽  
pp. 55-67 ◽  
Author(s):  
Robert Nowicki
Keyword(s):  
Missing Data ◽  
Fuzzy Sets ◽  
Fuzzy Systems ◽  
Fuzzy Classification ◽  
Fuzzy Classifier ◽  
New Approach ◽  
Logical Type ◽  
Neuro Fuzzy

On classification with missing data using rough-neuro-fuzzy systemsThe paper presents a new approach to fuzzy classification in the case of missing data. Rough-fuzzy sets are incorporated into logical type neuro-fuzzy structures and a rough-neuro-fuzzy classifier is derived. Theorems which allow determining the structure of the rough-neuro-fuzzy classifier are given. Several experiments illustrating the performance of the roughneuro-fuzzy classifier working in the case of missing features are described.

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