,N APPROACH TO RULE DISCOVERY IN INCOMPLETE INFORMATION SYSTEMS

Document Type : Original Article

Authors

1 Department of Engineering Mathmatics & Basic Science, Faculty of Engineering, Minoufiya University, Shebin El-Kom, Egypt

2 -

3 Institute of Statistical Studies &Research (ZSSR), Cairo University, Egypt.

Abstract

This paper introduces a probabilistic rough set approach to rule discovery fiom incomplete
decision tables. The core of the approach is a soft hybrid induction system called the Generalized
Distribution Table and Rough Set System (GDT-RS) for discovering classification rules. The
system is based on a combination of Generalized Distribution Table (GDT) and the Rough Set
methodologies. With every decision rule two conditional probabilities associated, namely the
certainty factor and the coverage factor. The probabilistic properties of the Decision rules are
discussed

Keywords

ERJ. Engineering Research Journal
Volume 31, Issue 2
April 2008
Pages 227-234

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