Automated knowledge engineering using rough set approach

Knowledge engineering refers to the building, maintaining and development of knowledge-based systems. It has a great deal in common with software engineering and is related to many computer science domains such as artificial intelligence, database, data mining, expert systems, decision support system and geographic information system. The main motto of rough sets is: “Let the data speak for themselves”. Rough sets are based theory of sets. Main applications of rough sets theory are attribute reduction, rule generation and prediction. This article outlines conceptualization and implementation of an intelligent system capable of extracting knowledge from databases.