DocumentCode :
2565366
Title :
Knowledge modeling for fuzzy systems based on ontology
Author :
Zhai, Jun ; Lv, Miao ; Li, Jianfeng ; Wang, Qinglian
Author_Institution :
Sch. of Econ. & Manage., Dalian Maritime Univ., Dalian
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
3393
Lastpage :
3397
Abstract :
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.
Keywords :
fuzzy systems; knowledge representation languages; ontologies (artificial intelligence); semantic Web; Web ontology language; domain ontology; fuzzy control; fuzzy linguistic variables; fuzzy ontology; fuzzy systems; knowledge modeling; semantic Web; uncertainty problems; washing machine; Fuzzy systems; Ontologies; Fuzzy Linguistic Variable; Fuzzy Ontology; Fuzzy System; Knowledge Modeling; Ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
Type :
conf
DOI :
10.1109/CCDC.2008.4597959
Filename :
4597959
Link To Document :
بازگشت