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