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2008 International Symposiums on Information Processing
Knowledge Sharing for Supply Chain Management Based on Fuzzy Ontology on the Semantic Web
May 23-May 25
ISBN: 978-0-7695-3151-9
ASCII Text
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Jun Zhai, Yang Li, Qinglian Wang, Miao Lv, "Knowledge Sharing for Supply Chain Management Based on Fuzzy Ontology on the Semantic Web," 2010 Third International Symposium on Information Processing, pp. 429-433, 2008 International Symposiums on Information Processing, 2008.
 
 
BibTex
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@article{ 10.1109/ISIP.2008.24,
author = {Jun Zhai and Yang Li and Qinglian Wang and Miao Lv},
title = {Knowledge Sharing for Supply Chain Management Based on Fuzzy Ontology on the Semantic Web},
journal ={2010 Third International Symposium on Information Processing},
volume = {0},
year = {2008},
isbn = {978-0-7695-3151-9},
pages = {429-433},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISIP.2008.24},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - 2010 Third International Symposium on Information Processing
TI - Knowledge Sharing for Supply Chain Management Based on Fuzzy Ontology on the Semantic Web
SN - 978-0-7695-3151-9
SP429
EP433
A1 - Jun Zhai,
A1 - Yang Li,
A1 - Qinglian Wang,
A1 - Miao Lv,
PY - 2008
KW - Knowledge sharing
KW - Supply Chain Management. Fuzzy ontology
KW - the Semantic Web
VL - 0
JA - 2010 Third International Symposium on Information Processing
ER -
 
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.
Index Terms:
Knowledge sharing, Supply Chain Management. Fuzzy ontology, the Semantic Web
Citation:
Jun Zhai, Yang Li, Qinglian Wang, Miao Lv, "Knowledge Sharing for Supply Chain Management Based on Fuzzy Ontology on the Semantic Web," isip, pp.429-433, 2008 International Symposiums on Information Processing, 2008
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