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Reseach Article

Fuzzy Rough Set based Attribute Reduction in Fuzzy Decision Tables

by Cao Chinh Nghia, Nguyen Long Giang
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 132 - Number 4
Year of Publication: 2015
Authors: Cao Chinh Nghia, Nguyen Long Giang
10.5120/ijca2015907411

Cao Chinh Nghia, Nguyen Long Giang . Fuzzy Rough Set based Attribute Reduction in Fuzzy Decision Tables. International Journal of Computer Applications. 132, 4 ( December 2015), 32-37. DOI=10.5120/ijca2015907411

@article{ 10.5120/ijca2015907411,
author = { Cao Chinh Nghia, Nguyen Long Giang },
title = { Fuzzy Rough Set based Attribute Reduction in Fuzzy Decision Tables },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 132 },
number = { 4 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume132/number4/23584-2015907411/ },
doi = { 10.5120/ijca2015907411 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:28:16.660467+05:30
%A Cao Chinh Nghia
%A Nguyen Long Giang
%T Fuzzy Rough Set based Attribute Reduction in Fuzzy Decision Tables
%J International Journal of Computer Applications
%@ 0975-8887
%V 132
%N 4
%P 32-37
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Attributes reduction methods based approach traditional rough sets perform on the decision tables with discrete attribute value domain. In fact the data is usually the real values or symbols should be reduced attributes of traditional rough sets proved ineffective because of its failure to preserve the difference of data on original objects. This problem is solved with the attributes reduction methods based approach fuzzy rough set to overcome the limitations of the method according to previous rough set approach. This paper improves, analyzes and evaluates two methods of attribute reduction based on the degree of dependence between attributes and discernibility matrix of fuzzy rough set

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy rough set fuzzy decision table discernibility matrix attributes reduction reduct.