Knowledge modeling for fuzzy systems based on ontology

Fuzzy knowledge is the base of fuzzy systems. Ontology is adopted as a standard for sharing and reusing knowledge on the semantic Web, and fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. In order to achieve fuzzy knowledge sharing for fuzzy systems, this paper utilizes fuzzy ontology to represent formally the fuzzy linguistic variables, considering the semantic relationships between fuzzy concepts defined in fuzzy linguistic variable ontologies. The process to construct fuzzy linguistic variables ontology is discussed. Taking the fuzzy control system of washing machine for example, this paper builds the fuzzy knowledge sharing system with Web ontology language (OWL), which shows that this research facilitates knowledge management for fuzzy systems on the semantic Web.

[1]  Lipika Dey,et al.  Interoperability among Distributed Overlapping Ontologies--A Fuzzy Ontology Framework , 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

[2]  José L. Verdegay,et al.  Two-phase method to solve fuzzy quadratic programming problems , 2007, 2007 IEEE International Fuzzy Systems Conference.

[3]  Lipika Dey,et al.  A Fuzzy Ontology Generation Framework for Handling Uncertainties and Nonuniformity in Domain Knowledge Description , 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).

[4]  Chang-Shing Lee,et al.  Ontology-based fuzzy event extraction agent for Chinese e-news summarization , 2003, Expert Syst. Appl..

[5]  K. Atanassov.  Operators over interval valued intuitionistic fuzzy sets , 1994 .

[6]  David Parry,et al.  A fuzzy ontology for medical document retrieval , 2004, ACSW.

[7]  Siu Cheung Hui,et al.  Automatic fuzzy ontology generation for semantic Web , 2006, IEEE Transactions on Knowledge and Data Engineering.

[8]  Chang-Shing Lee,et al.  A fuzzy ontology and its application to news summarization , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).