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:
Online Access:http://umpir.ump.edu.my/id/eprint/5992/
http://umpir.ump.edu.my/id/eprint/5992/1/Hybrid_filter_for_object_reduction.pdf
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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
building UMP Institutional Repository
collection Online Access
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.
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institution Universiti Malaysia Pahang
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publisher Science Publishing Corporation
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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. (Published) http://dx.doi.org/10.14419/ijbas.v3i1.1704 DOI:10.14419/ijbas.v3i1.1704
spellingShingle QA76 Computer software
Mohammed, Mohammed Adam Taheir
Wan Maseri, Wan Mohd
Ruzaini, Abdullah Arshah
Hybrid Filter for Object Reduction
title 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_short Hybrid Filter for Object Reduction
title_sort hybrid filter for object reduction
topic QA76 Computer software
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