A Note on Extraction of Interrelated Attributes That Represent Characteristics of Multiple Decision Classes

Abstract

Rough-set-based interrelationship mining, proposed by the authors, aims at extracting char- acteristics based on comparing attribute values of different attributes at the same object. The extracted characteristics are represented as interrelated attributes. However, the extracted characteristics represents characteristics of single decision class and it is difficult to extract characteristics that concern multiple de- cision classes simultaneously. In this paper, we consider an approach of extracting interrelated attributes that represent characteristics of multiple decision classes simultaneously.