With the rapid development of the Semantic Web research, the demand for representation and reasoning with uncertain information increases. Despite ontology is capable of modeling the semantic and knowledge in knowledge-based system, classical ontology languages are not appropriate to deal with uncertainty in knowledge, which is inherent in most of the real world application domains. In this paper, we address this issue by extending the power of expression in current ontology language, that is, proposing a Fuzzy Multi Entity Bayesian Networks ontology language which extends the PR-OWL and based on combination of Fuzzy MEBN and ontology, defining and studying its syntax and semantics, and showing representation of domain knowledge by RDF graphs. The proposed language Fuzzy PR-OWL will move beyond the current limitation of modeling the knowledge with fuzzy semantic or fuzzy relation in PR-OWL. By providing a principled means of uncertainty representation and reasoning, Fuzzy PR-OWL can serve for many applications with fuzzy and probability knowledge.