RClass*: A Prototype Rough-Set and Genetic Algorithms Enhanced Multi-Concept Classification System for Manufacturing Diagnosis 19.1 Introduction 19.2 Basic Notions 19.3 A Prototype Multi-Concept Classification System 19.4 Validation of RClass
19.5 Application of RClass
to Manufacturing Diagnosis
or classification of objects from large-scale empirical data sets is an important research
area in artificial intelligence (AI). In recent years, many techniques have been developed to perform
inductive learning. Among them, the decision tree learning technique is the most popular. Using such a
technique, Quinlan  has successfully developed the Inductive Dichotomizer 3 (ID3), and its later
versions C4.5 and C5.0 (See 5.0) in 1986, 1992, and...