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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Concept Hierarchies Generation for Classification using Fuzzy Formal Concept Analysis
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Wen Zhou, Zongtian Liu, Yan Zhao, "Concept Hierarchies Generation for Classification using Fuzzy Formal Concept Analysis," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 3, pp. 50-55, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.229,
author = {Wen Zhou and Zongtian Liu and Yan Zhao},
title = {Concept Hierarchies Generation for Classification using Fuzzy Formal Concept Analysis},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {3},
year = {2007},
isbn = {0-7695-2909-7},
pages = {50-55},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.229},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - Concept Hierarchies Generation for Classification using Fuzzy Formal Concept Analysis
SN - 0-7695-2909-7
SP50
EP55
A1 - Wen Zhou,
A1 - Zongtian Liu,
A1 - Yan Zhao,
PY - 2007
KW - Fuzzy Formal Concept Analysis
KW - fuzzy concept hierarchy
KW - classification
VL - 3
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Wen Zhou, Shanghai University, China
Zongtian Liu, Shanghai University, China
Yan Zhao, Shanghai University, China
A large collection of formal concepts can be a hedge of the application of Formal Concept Analysis and is not directly comprehensible for a user. It is thus an important task to develop methods which help to overcome the problem of large number of extracted formal concepts. This paper proposes concept hierarchies learning for getting more concise concept representation method using fuzzy formal concept analysis. Then, concept hierarchies based classifier is produced. At the end, experiments show that the compression rate of concept hierarchy to concept lattice is obvious while preserving the accuracy of classification.
Index Terms:
Fuzzy Formal Concept Analysis, fuzzy concept hierarchy, classification
Citation:
Wen Zhou, Zongtian Liu, Yan Zhao, "Concept Hierarchies Generation for Classification using Fuzzy Formal Concept Analysis," snpd, vol. 3, pp.50-55, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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