Creator:

Nowicki, Robert K.

Contributor:

Korbicz, Józef - red. ; Uciński, Dariusz - red.

Title:

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

Group publication title:

AMCS, Volume 20 (2010)

Subject and Keywords:

fuzzy sets ; rough sets ; neuro-fuzzy architectures ; classification ; missing data

Abstract:

The paper presents a new approach to fuzzy classification in the case of missing data. Rough-fuzzy sets are incorporatedinto logical type neuro-fuzzy structures and a rough-neuro-fuzzy classifier is derived. Theorems which allow determiningthe 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.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2010

Resource Type:

artykuł

DOI:

10.2478/v10006-010-0004-8

Pages:

55-67

Source:

AMCS, Volume 20, Number 1 (2010) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego