ABSTRACT:
Description Logic (DL) being a knowledge representation language that is widely used in building ontologies is a crisp language and lacks representation and reasoning for vague concepts in an ontology for some real-world applications like medical records which has been confronted with the challenge of analysing, interpreting or processing medical data involving vague concepts to obtain inferred diagnosis efficiently. On the other hand, fuzzy ontology can effectively help to handle and process uncertain data and knowledge. In this paper, we propose a reasoning algorithm based on fuzzy soft set theory in order to reason about the uncertain aspect of a medical ontology of vague domain. The proposed algorithm was evaluated by applying it on some vague ontologies in a medical domain and the result was compared with the tableaux based and the soft set ontology reasoning techniques. The obtained result shows that, the proposed algorithm is satisfiable when fuzzy concepts and assertions are involved in an ontology representation while such fuzzy conceptions are not handled by both tableaux based and soft set ontology procedures.
Keywords:
Vague Ontologies, Medical Domain, Uncertainty, Description Logic, Fuzzy Soft Set
