Title :
Fuzzy Concept Lattice Based Classifier
Author :
Zhou, Wen ; Liu, Zongtian ; Zhao, Yan ; Zheng, Yu ; Xu, Dong ; Liu, Wei ; Zhu, Ying
Author_Institution :
Shanghai Univ., Shanghai
Abstract :
The large collection of formal concepts can be a hedge of the application of FCA. Development of methods which help to overcome the problem of the huge size of concept lattice is thus an important task. This paper proposes clustering-based reduction algorithm for reducing the size of fuzzy concept lattices. At the end, experiment results show that the compression rate of the concept lattice and classifier is remarkable, while it preserves the accuracy of classification of concept lattice.
Keywords :
fuzzy logic; knowledge representation; pattern classification; pattern clustering; FCA knowledge representation method; clustering-based reduction algorithm; formal concept analysis; fuzzy FCA model; fuzzy concept lattice based classifier; fuzzy logic; Application software; Business; Clustering algorithms; Data mining; Fuzzy logic; Fuzzy sets; Information analysis; Knowledge representation; Lattices; Machine learning;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.322
