Second, the structure of proposed attributes reduction is investigated in detail by the approach of discernibility matrix. Third, an algorithm of computing attributes reduction is designed and finally a compari
combination conditional entropy and rough entropy. The idea of attribute reduction using positive region was originated by Grzymala-Buss [8,9]. In a classical rough set model, the conditional entropy of Shannon’s information entropy was introduced in ...
Rough setData miningFuzzy class setsCrisp attributesCertain rulePossible ruleα-cutMachine learning can extract desired knowledge and ease the development bottleneck in building expert systems. Among the proposed approaches, deriving classification rules from training examples is the most common. Given a ...
Using a Rough Sets approach for the analysis of the subset of preference relations, a set of decision rules is obtained, and these are applied to a set A\\\B of potential actions. The Rough Sets approach of looking for the reduction of the set of attributes gives us the possibility of ...
Attribute reduction in concept lattices and attribute characteristics; 概念格的属性约简与属性特征 2. The attribute characteristic is the description or the appraisal of special attributes,which is usually expressed by adjectives,and its common expression forms are "Yattribute-characteristic(Y)+(de)+N...
convolutional neural networks;transparency;rule extraction;conciseness;heterogeneous attribute;dimension reduction;feature selection;credit scoring;risk assessment 1. Introduction 1.1. Background Historically, assessing credit risk has been very important, yet extremely difficult. The banking industry faces numerous...
convolutional neural networks;transparency;rule extraction;conciseness;heterogeneous attribute;dimension reduction;feature selection;credit scoring;risk assessment 1. Introduction 1.1. Background Historically, assessing credit risk has been very important, yet extremely difficult. The banking industry faces numerous...