Automated Evaluation of Reusable Learning Objects via a Decision Support System

Learning objects have been of great interest to educational organizations all over the globe. Once developed they need to be classified and presented to interested parties in the most effective and operational way. Serious classification problems have to be dealt with when the metadata attached to a learning object contains incomplete and/or in-consistent information. Many-valued logic is suggested for providing meaningful recommendations.