<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>The 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.</p></abstract>

The 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.

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

Institute of Information Technology, Academy of Management (SWSPiZ), ul. Sienkiewicza 9, 90-113 Łódź, Poland

Department of Computer Engineering, Częstochowa University of Technology, ul. Armii Krajowej 36, 42-200 Częstochowa, Poland

International Journal of Applied Mathematics and Computer Science

{"article-title":"On classification with missing data using rough-neuro-fuzzy systems"}

The paper presents a new approach to fuzzy classification in the case of missing data. Rough-fuzzy sets are incorporated into logical type neuro-fuzzy...

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

Online veröffentlicht: 25. März 2010

Seitenbereich: 55 - 67

DOI: https://doi.org/10.2478/v10006-010-0004-8

Schlüsselwörter
fuzzy sets, rough sets, neuro-fuzzy architectures, classification, missing data

This content is open access.

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

Online veröffentlicht: 25. März 2010

Seitenbereich: 55 - 67

DOI: https://doi.org/10.2478/v10006-010-0004-8

Schlüsselwörterfuzzy sets, rough sets, neuro-fuzzy architectures, classification, missing data

This content is open access.

Schlüsselwörter
fuzzy sets, rough sets, neuro-fuzzy architectures, classification, missing data