Hybrid Filter for Attributes Reduction in Soft Set

The purpose of this research is to overcome hybrid parameterization reduction limitation that focuses only on individual parameter reduction, whereas in some cases the individual parameter reduction is not sufficient even implies reduction. It was found that the reduction sometimes is not able to re...

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Main Authors:	Mohammed, Mohammed Adam Taheir, Wan Maseri, Wan Mohd, Ruzaini, Abdullah Arshah, Mungad, M., Sutoyo, Edi, Chiroma, Haruna
Format:	Conference or Workshop Item
Language:	English English
Published:	2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/14331/ http://umpir.ump.edu.my/id/eprint/14331/1/fskkp-2015-taheir-Hybrid%20Filter%20for%20Attributes%20Reduction.pdf http://umpir.ump.edu.my/id/eprint/14331/7/fskkp-2015-taheir-Hybrid%20Filter%20for%20Attributes%20Reduction1.pdf

id	ump-14331
recordtype	eprints
spelling	ump-143312018-05-18T02:21:02Z http://umpir.ump.edu.my/id/eprint/14331/ Hybrid Filter for Attributes Reduction in Soft Set Mohammed, Mohammed Adam Taheir Wan Maseri, Wan Mohd Ruzaini, Abdullah Arshah Mungad, M. Sutoyo, Edi Chiroma, Haruna QA75 Electronic computers. Computer science The purpose of this research is to overcome hybrid parameterization reduction limitation that focuses only on individual parameter reduction, whereas in some cases the individual parameter reduction is not sufficient even implies reduction. It was found that the reduction sometimes is not able to reduce the number of data; hence, for this reason it became necessary to look for an alternative technique that can significantly reduce the parameters. This paper proposed an alternative method based on hybrid filter to select attributes in soft set. For significant candidates the method used R supp checking to confirm the correctness of the reduction. Comparison of the reduction methods shows that the proposed method provides better result than the parameterization reduction in enhancing reduction. The false candidates were filtered in the huge candidate reduction by the Min supp. The proposed method can be used to maintain object before attribute reduction as well as to reduce parameter size drastically while maintaining consistency in decision making. 2015 Conference or Workshop Item NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14331/1/fskkp-2015-taheir-Hybrid%20Filter%20for%20Attributes%20Reduction.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/14331/7/fskkp-2015-taheir-Hybrid%20Filter%20for%20Attributes%20Reduction1.pdf Mohammed, Mohammed Adam Taheir and Wan Maseri, Wan Mohd and Ruzaini, Abdullah Arshah and Mungad, M. and Sutoyo, Edi and Chiroma, Haruna (2015) Hybrid Filter for Attributes Reduction in Soft Set. In: The 2nd International Conference on Advanced Data and Information Engineering (DaEng-2015), 25-26 April 2015 , Bali, Indonesia. pp. 1-13.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Mohammed, Mohammed Adam Taheir Wan Maseri, Wan Mohd Ruzaini, Abdullah Arshah Mungad, M. Sutoyo, Edi Chiroma, Haruna Hybrid Filter for Attributes Reduction in Soft Set
description	The purpose of this research is to overcome hybrid parameterization reduction limitation that focuses only on individual parameter reduction, whereas in some cases the individual parameter reduction is not sufficient even implies reduction. It was found that the reduction sometimes is not able to reduce the number of data; hence, for this reason it became necessary to look for an alternative technique that can significantly reduce the parameters. This paper proposed an alternative method based on hybrid filter to select attributes in soft set. For significant candidates the method used R supp checking to confirm the correctness of the reduction. Comparison of the reduction methods shows that the proposed method provides better result than the parameterization reduction in enhancing reduction. The false candidates were filtered in the huge candidate reduction by the Min supp. The proposed method can be used to maintain object before attribute reduction as well as to reduce parameter size drastically while maintaining consistency in decision making.
format	Conference or Workshop Item
author	Mohammed, Mohammed Adam Taheir Wan Maseri, Wan Mohd Ruzaini, Abdullah Arshah Mungad, M. Sutoyo, Edi Chiroma, Haruna
author_facet	Mohammed, Mohammed Adam Taheir Wan Maseri, Wan Mohd Ruzaini, Abdullah Arshah Mungad, M. Sutoyo, Edi Chiroma, Haruna
author_sort	Mohammed, Mohammed Adam Taheir
title	Hybrid Filter for Attributes Reduction in Soft Set
title_short	Hybrid Filter for Attributes Reduction in Soft Set
title_full	Hybrid Filter for Attributes Reduction in Soft Set
title_fullStr	Hybrid Filter for Attributes Reduction in Soft Set
title_full_unstemmed	Hybrid Filter for Attributes Reduction in Soft Set
title_sort	hybrid filter for attributes reduction in soft set
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/14331/ http://umpir.ump.edu.my/id/eprint/14331/1/fskkp-2015-taheir-Hybrid%20Filter%20for%20Attributes%20Reduction.pdf http://umpir.ump.edu.my/id/eprint/14331/7/fskkp-2015-taheir-Hybrid%20Filter%20for%20Attributes%20Reduction1.pdf
first_indexed	2023-09-18T22:17:58Z
last_indexed	2023-09-18T22:17:58Z
_version_	1777415464596537344

Hybrid Filter for Attributes Reduction in Soft Set

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