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Reasoning Technique for Extended Fuzzy Description Logics
Hong Kong, China November 14-November 16
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2005.10717th IEEE International Conference on ...
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Yanhui Li, Baowen Xu, Jianjiang Lu, Dazhou Kang, Jie Xu, "Reasoning Technique for Extended Fuzzy Description Logics," Tools with Artificial Intelligence, IEEE International Conference on, pp. 665-666, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICTAI.2005.107,
author = {Yanhui Li and Baowen Xu and Jianjiang Lu and Dazhou Kang and Jie Xu},
title = {Reasoning Technique for Extended Fuzzy Description Logics},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2005},
issn = {1082-3409},
pages = {665-666},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2005.107},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Reasoning Technique for Extended Fuzzy Description Logics
SN - 1082-3409
SP665
EP666
A1 - Yanhui Li,
A1 - Baowen Xu,
A1 - Jianjiang Lu,
A1 - Dazhou Kang,
A1 - Jie Xu,
PY - 2005
KW - null
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
Yanhui Li, Southeast University
Baowen Xu, Southeast University, Jiangsu Institute of Software Quality and Wuhan University
Jianjiang Lu, Southeast University, Jiangsu Institute of Software Quality and PLA University of Science and Technology
Dazhou Kang, Southeast University
Jie Xu, Southeast University
A family of extended fuzzy description logics, which includes a framework of syntax, semantics, knowledge base form and reasoning tasks, is proposed to enable representation and reasoning for complex fuzzy information. This paper discusses the reasoning technique for reasoning tasks of extended fuzzy description logics, which adopts classical description logics to discretely simulate extended fuzzy description logic in polynomial time and reuses the existing reasoning result to prove the complexity of reasoning tasks of extended fuzzy description logics.
Citation:
Yanhui Li, Baowen Xu, Jianjiang Lu, Dazhou Kang, Jie Xu, "Reasoning Technique for Extended Fuzzy Description Logics," ictai, pp.665-666, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
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