KNOWREM

Although information technology is facilitating knowledge retrieval and sharing, it is sometimes difficult to adequately map the decision maker's mind-set into an appropriate object for information retrieval. Ontology potentially enables automated knowledge sharing and re-use among both human and computer agents; this is achieved by interweaving human and machine understanding through formal and real-world semantics. Thus, the combination of both graphical and mathematical model development was employed in the research with a bid to capture operational complexities and human issues and also establish rigorously defined formal definitions and mapping functions derived from the extension of the axiom of selection (or choice) and Object-Attribute-Relation (OAR) model. The research is relevant to knowledge sharing in and from developing economies where cultural factors may play their role by way of imprecision of information. Thus, the future direction of this research in fuzzy logic will tackle more the problem of ill-defined decision-making problems.