Rules from belief networks: A rough set approach

Abstract

A new version of the Belief SEEKER, software that incorporates some aspects of rough set theory is discussed in this paper. The new version is capable of generating certain belief networks (for consistent data) and possible belief networks (for inconsistent data). Then, both types of networks can be readily converted onto respective sets of production rules, which includes both certain and/or possible rules. The new version or broadly speaking - methodology, was tested in mining the melanoma database for the best descriptive attributes of skin illness. It was found, that both types of knowledge representation, can be readily used for classification of melanocytic skin lesions.