Int. J. of Granular Computing, Rough Sets and Intelligent Systems   »   2012 Vol.2, No.4

 

 

Title: Fuzzy rough data reduction in large datasets with building application software (FRDRS)

 

Author: A.S. Salama

 

Address: Mathematics Department, Faculty of Science, Tanta University, P.O. Box 31527, Tanta, Egypt

 

Abstract: Fuzzy rough data reduction software (FRDRS) is designed to facilitate make reduction of high dimensional data. It is a toolkit for analysing tabular data within the framework of fuzzy set theory. It is designed to support the overall data mining and knowledge discovery process: from initial browsing and pre-processing of the data, via computation of minimal attributes sets and generation of if-then rules or descriptive patterns, to validation and analysis of the induced rules or patterns. This computer programme is used for reduction of information system tables by using Java programming language and fuzzy-rough sets approach. Many researchers achieved a lot of very strong papers in the areas of applications and generalisations of rough set theory with fuzzy set theory or topological space theory. But they do not make good experimental results that support their results because the difficulties that they faced due to the large amount of data need to study and to analyse. Therefore, our software is interesting for those researchers to achievement their experiments. This programme is used under operating systems 'windows_98, windows_2000, windows me, windows xp' not used under DOS.

 

Keywords: fuzzy sets; rough sets; complete information tables; rule induction; Java programming; data reduction; large datasets; fuzzy logic; data mining; knowledge discovery; information systems.

 

DOI: 10.1504/IJGCRSIS.2012.049979

 

Int. J. of Granular Computing, Rough Sets and Intelligent Systems, 2012 Vol.2, No.4, pp.292 - 313

 

Submission date: 16 Jul 2011
Date of acceptance: 30 Jan 2012
Available online: 21 Oct 2012

 

 

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