Fuzzy ontology models using intuitionistic fuzzy set for knowledge sharing on the semantic web

Abstract

Ontology is adopted as a standard for knowledge representation and sharing in collaborative design on the Semantic Web. Fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. To represent formally the fuzzy knowledge more effectively, this paper proposes a series of fuzzy ontology models that consists of fuzzy domain ontology, using intuitionistic fuzzy set, and fuzzy linguistic variable ontologies, considering semantic relationships between fuzzy concepts, including set relation, order relation and equivalence relation. The fuzzy ontology introduces the fuzzy concepts as values of properties and extends the ordinary relationships to fuzzy relationships and intuitionistic fuzzy relationships. The application, which uses fuzzy ontology to model knowledge of intelligent transportation, shows that these models can overcome the localization of other fuzzy ontology models, and this research facilitates the fuzzy knowledge sharing and reuse on the Semantic Web. © 2008 IEEE.