Rough Set Based Classifiers For Decision Making

Recently, there has been a growing interest in the data mining area, where the objective is the discovery of knowledge that is correct, comprehensible, easily interpreted, and can be understood and used by users. This paper addresses the issue by facilitating the automatic construction of a decision support system by utilizing data mining techniques. In this research a system that extracts rules based on rough set theory is built. The extracted rough based classification rules are transformed into software to be used as a tool to predict the decision class of new objects with unknown class for the purposes of decision making. Key-Words: Data Mining, Rough Set Theory, Classification Rules, Classifier, Decision Making.