Hybrid Filter for Object Reduction

The basic idea to build significant attribute the uncertain objects should remove. Several theories are dealing with uncertainty, soft set theory also handles this uncertainty problem which still an open area to be explored in knowledge management. The propose techniques Known as Filtering data set...

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Main Authors:	Mohammed, Mohammed Adam Taheir, Wan Maseri, Wan Mohd, Ruzaini, Abdullah Arshah
Format:	Article
Language:	English
Published:	Science Publishing Corporation 2014
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/5992/ http://umpir.ump.edu.my/id/eprint/5992/ http://umpir.ump.edu.my/id/eprint/5992/ http://umpir.ump.edu.my/id/eprint/5992/1/Hybrid_filter_for_object_reduction.pdf

id	ump-5992
recordtype	eprints
spelling	ump-59922018-05-18T02:26:37Z http://umpir.ump.edu.my/id/eprint/5992/ Hybrid Filter for Object Reduction Mohammed, Mohammed Adam Taheir Wan Maseri, Wan Mohd Ruzaini, Abdullah Arshah QA76 Computer software The basic idea to build significant attribute the uncertain objects should remove. Several theories are dealing with uncertainty, soft set theory also handles this uncertainty problem which still an open area to be explored in knowledge management. The propose techniques Known as Filtering data set which used for maintained the inferior object and we need to look at the other side of attribute reduction. The propose technique are reducing the size of object firstly, then the Hybrid reduction are executed for generating the decision extractions. These filters have reduced the size of memory without losing the characteristic of information which absolutely highly efficient. By using Filtering the inferior object of Hybrid techniques are managed. As part of this proposal, an analysis of Hybrid reduction techniques. In the conclusion part Filtering the Hybrid show better result compared to Hybrid reduction. Science Publishing Corporation 2014 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/5992/1/Hybrid_filter_for_object_reduction.pdf Mohammed, Mohammed Adam Taheir and Wan Maseri, Wan Mohd and Ruzaini, Abdullah Arshah (2014) Hybrid Filter for Object Reduction. International Journal of Basic and Applied Sciences, 3 (1). pp. 55-58. ISSN 2227-5053 http://dx.doi.org/10.14419/ijbas.v3i1.1704 DOI:10.14419/ijbas.v3i1.1704
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Mohammed, Mohammed Adam Taheir Wan Maseri, Wan Mohd Ruzaini, Abdullah Arshah Hybrid Filter for Object Reduction
description	The basic idea to build significant attribute the uncertain objects should remove. Several theories are dealing with uncertainty, soft set theory also handles this uncertainty problem which still an open area to be explored in knowledge management. The propose techniques Known as Filtering data set which used for maintained the inferior object and we need to look at the other side of attribute reduction. The propose technique are reducing the size of object firstly, then the Hybrid reduction are executed for generating the decision extractions. These filters have reduced the size of memory without losing the characteristic of information which absolutely highly efficient. By using Filtering the inferior object of Hybrid techniques are managed. As part of this proposal, an analysis of Hybrid reduction techniques. In the conclusion part Filtering the Hybrid show better result compared to Hybrid reduction.
format	Article
author	Mohammed, Mohammed Adam Taheir Wan Maseri, Wan Mohd Ruzaini, Abdullah Arshah
author_facet	Mohammed, Mohammed Adam Taheir Wan Maseri, Wan Mohd Ruzaini, Abdullah Arshah
author_sort	Mohammed, Mohammed Adam Taheir
title	Hybrid Filter for Object Reduction
title_short	Hybrid Filter for Object Reduction
title_full	Hybrid Filter for Object Reduction
title_fullStr	Hybrid Filter for Object Reduction
title_full_unstemmed	Hybrid Filter for Object Reduction
title_sort	hybrid filter for object reduction
publisher	Science Publishing Corporation
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/5992/ http://umpir.ump.edu.my/id/eprint/5992/ http://umpir.ump.edu.my/id/eprint/5992/ http://umpir.ump.edu.my/id/eprint/5992/1/Hybrid_filter_for_object_reduction.pdf
first_indexed	2023-09-18T22:01:28Z
last_indexed	2023-09-18T22:01:28Z
_version_	1777414426943553536

Hybrid Filter for Object Reduction

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