Fuzzy System Modeling and Representation Based on Linguistic Variable Ontology and SWRL
نویسندگان
چکیده
Ontology is an important tool on the semantic web, for ontology has a powerful expressive ability on knowledge representation. However, it has no ability to represent the imprecise information as well as the uncertainty. In order to share and deal with the fuzzy knowledge between homogeneous systems on the semantic web, in this paper, the concept of linguistic variable ontology is proposed as the basis of Fuzzy System. Taking a flu fuzzy diagnosis case for example, fuzzy system is modeled. For fuzzy knowledge representation and further inference, the fuzzy rule base is constructed, which constitutes a part of fuzzy system. A tool of protégé is used to realize the fuzzy system and a plugin of SWRLTab for the fuzzy rule. Also, SWRL/OWL is used to represent the rules formally for facilitating machine understanding and process. Comparisons are made between two fuzzy tools to illustrate the advantages of SWRLTab. The paper concludes that linguistic variable ontology-based diagnosis system can achieve the fuzzy knowledge sharing between homogeneous systems correctly.
منابع مشابه
Modeling of Flu Fuzzy Diagnosis System Based on Linguistic Variable Ontology and SWRL on the Semantic Web
Ontology has a powerful expressive ability on knowledge. In order to share and deal with the fuzzy knowledge on the semantic web, the linguistic variable ontology is proposed as the basis of the Flu Fuzzy Diagnosis System. After that, Protégé is introduced to build the fuzzy rule base. The paper concludes that linguistic variable ontology-based fuzzy diagnosis system can achieve the function of...
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