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Computación y Sistemas

Print version ISSN 1405-5546

Comp. y Sist. vol.19 n.1 México Jan./Mar. 2015

http://dx.doi.org/10.13053/CyS-19-1-2053 

Artículos

 

An Approach for Prototype Generation based on Similarity Relations for Problems of Classification

 

Yumilka B. Fernández Hernández1, Rafael Bello2, Yaima Filiberto1, Mabel Frías1, Lenniet Coello Blanco1 and Yaile Caballero1

 

1 Departamento de Ciencias de la Computación, Universidad de Camagüey, Camagüey, Cuba. yumilka.fernandez@reduc.edu.cu, yaima.filiberto@reduc.edu.cu, lenniet.coello@reduc.edu.cu, mabel.frias@reduc.edu.cu, yaile.caballero@reduc.edu.cu.

2 Departamento de Ciencias de la Computación, Universidad Central de Las Villas, Cuba. rbellop@uclv.edu.cu.

Corresponding author is Yumilka B. Fernández.

 

Article received on 02/10/2014.
Accepted on 20/01/2015.

 

Abstract

In this paper, a new method for solving classification problems based on prototypes is proposed. When using similarity relations for granulation of a universe, similarity classes are generated, and a prototype is constructed for each similarity class. Experimental results show that the proposed method has higher classification accuracy and a satisfactory reduction coefficient compared to other well-known methods, proving to be statistically superior in terms of classification's precision.

Keywords: Prototype generation, similarity relations, classification.

 

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