DocumentCode :
3124107
Title :
An approach of fuzzy clustering based on linguistic-valued lattice Implication algebra
Author :
Hongliang Zheng ; Yunxia Zhang ; Li Zou
Author_Institution :
Sch. of Comput. & Inf. Technol., Liaoning Normal Univ., Dalian, China
Volume :
04
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
1812
Lastpage :
1817
Abstract :
Linguistic-valued fuzzy set and linguistic-valued fuzzy matrix are defined based on 10-element linguistic-valued Implication lattice. And we propose the linguistic-valued fuzzy similarity, while the average linguistic-valued fuzzy similarity formula is given and proved. This paper also defines linguistic-valued fuzzy similar matrix, linguistic-valued fuzzy equivalent matrix. We give a method calculating linguistic-valued fuzzy equivalent matrix from linguistic-valued fuzzy similar matrix. A clustering approach is proposed using the linguistic-valued fuzzy similar matrix.
Keywords :
fuzzy set theory; matrix algebra; pattern clustering; 10-element linguistic-valued implication lattice; average linguistic-valued fuzzy similarity formula; fuzzy clustering approach; linguistic-valued fuzzy equivalent matrix; linguistic-valued fuzzy set; linguistic-valued fuzzy similarity matrix; linguistic-valued lattice implication algebra; Abstracts; Algebra; Lattices; Welding; Fuzzy Cluster; Lattice Implication Algebra; Linguistic-Valued Similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890891
Filename :
6890891
Link To Document :
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