DocumentCode :
1964222
Title :
Knowledge Sharing for Supply Chain Management Based on Fuzzy Ontology on the Semantic Web
Author :
Zhai, Jun ; Li, Yang ; Wang, Qinglian ; Lv, Miao
Author_Institution :
Sch. of Econ. & Manage., Dalian Maritime Univ., Dalian
fYear :
2008
fDate :
23-25 May 2008
Firstpage :
429
Lastpage :
433
Abstract :
Knowledge sharing is the basic means to improve the efficiency of supply chain management (SCM). Ontology is the basis of sharing and reusing knowledge on the semantic Web. Fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. In order to handle fuzzy phenomenon and uncertainty of knowledge in SCM, this paper proposes a series of fuzzy ontology models using intuitionistic fuzzy set that consists of fuzzy domain ontology and fuzzy linguistic variable ontologies. Then, a fuzzy ontology framework is presented, including three parts: concepts, properties of concepts and values of properties. The application, which uses fuzzy ontology to model customer and product knowledge in supply chain, 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.
Keywords :
computational linguistics; fuzzy set theory; knowledge management; ontologies (artificial intelligence); semantic Web; supply chain management; fuzzy linguistic variable ontologies; intuitionistic fuzzy set; knowledge sharing; product knowledge; semantic Web; supply chain management; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Knowledge management; Multimedia systems; Ontologies; Semantic Web; Supply chain management; Supply chains; Uncertainty; Knowledge sharing; Supply Chain Management. Fuzzy ontology; the Semantic Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3151-9
Type :
conf
DOI :
10.1109/ISIP.2008.24
Filename :
4554126
Link To Document :
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