DocumentCode :
3096646
Title :
Similarity measures of fuzzy rough sets based on the LP metric
Author :
Ye, Qi-Hong ; Wu, Wei-Zhi
Author_Institution :
Sch. of Math., Phys. & Inf. Sci., Zhejiang Ocean Univ., Zhoushan, China
Volume :
2
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
811
Lastpage :
816
Abstract :
A similarity measure is a useful tool for determining the similarity of two objects. In this paper, based on the LP, metric, we discuss similarity measures of fuzzy rough sets determined by a triangular norm. We first review basic concepts related to intuitionistic fuzzy sets and fuzzy rough sets. By regarding a fuzzy rough set as an intuitionistic fuzzy set and by employing the LP, metric, we then propose several reasonable measures to calculate the degree of similarity between fuzzy rough sets and between elements in a class of fuzzy rough sets.
Keywords :
fuzzy set theory; rough set theory; LP metric; fuzzy rough sets; intuitionistic fuzzy sets; similarity measure; triangular norm; Cybernetics; Fuzzy sets; Machine learning; Rough sets; Fuzzy rough sets; intuitionistic fuzzy sets; rough sets; similarity measures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212466
Filename :
5212466
Link To Document :
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