It has been shown that fuzzy ontology
reduces the gap between the human understandable
knowledge and machine understandable logic. In
the last section of this paper, we integrate fuzzy
logic in ontology in order to define fuzzy concepts
and conclude how it performs as compared to crisp
ontology. In case of crisp ontology, instance either
belong to a concept or not but in case of fuzzy
ontology instance does not fully belong to a
concept instead has a membership value being an
instance to that concept.