Reduction based on similarity and decision-making

Abstract Reduction of attributes in an information system (IS) is a basic step for IS analysis. The original rough set model of Pawlak depends on an equivalence relation which is strongly constraints. This paper aims to use similarity classes and similarity degrees to obtain a reduction of IS and in...

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Main Author:	Abd El Fattah A. El Atik
Format:	Article
Language:	English
Published:	SpringerOpen 2020-05-01
Series:	Journal of the Egyptian Mathematical Society
Subjects:	Protein energy Rough set Membership function QSAR Similarity Decision-making
Online Access:	http://link.springer.com/article/10.1186/s42787-020-00078-4

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spelling	doaj-bc635cd45aa74fadb1a9beacccfecb442020-11-25T03:07:48ZengSpringerOpenJournal of the Egyptian Mathematical Society2090-91282020-05-0128111210.1186/s42787-020-00078-4Reduction based on similarity and decision-makingAbd El Fattah A. El Atik0Department of Mathematics, Faculty of Science, Tanta UniversityAbstract Reduction of attributes in an information system (IS) is a basic step for IS analysis. The original rough set model of Pawlak depends on an equivalence relation which is strongly constraints. This paper aims to use similarity classes and similarity degrees to obtain a reduction of IS and indicate an approach by using an example from biochemistry to get a quantitative structure activity relationship (QSAR). Moreover, signs of each attribute and degrees of memberships are computed to give a decision by using the degree of similarity. The suggested approach gives an increase in decision-making and decision accuracy.http://link.springer.com/article/10.1186/s42787-020-00078-4Protein energyRough setMembership functionQSARSimilarityDecision-making
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Abd El Fattah A. El Atik
spellingShingle	Abd El Fattah A. El Atik Reduction based on similarity and decision-making Journal of the Egyptian Mathematical Society Protein energy Rough set Membership function QSAR Similarity Decision-making
author_facet	Abd El Fattah A. El Atik
author_sort	Abd El Fattah A. El Atik
title	Reduction based on similarity and decision-making
title_short	Reduction based on similarity and decision-making
title_full	Reduction based on similarity and decision-making
title_fullStr	Reduction based on similarity and decision-making
title_full_unstemmed	Reduction based on similarity and decision-making
title_sort	reduction based on similarity and decision-making
publisher	SpringerOpen
series	Journal of the Egyptian Mathematical Society
issn	2090-9128
publishDate	2020-05-01
description	Abstract Reduction of attributes in an information system (IS) is a basic step for IS analysis. The original rough set model of Pawlak depends on an equivalence relation which is strongly constraints. This paper aims to use similarity classes and similarity degrees to obtain a reduction of IS and indicate an approach by using an example from biochemistry to get a quantitative structure activity relationship (QSAR). Moreover, signs of each attribute and degrees of memberships are computed to give a decision by using the degree of similarity. The suggested approach gives an increase in decision-making and decision accuracy.
topic	Protein energy Rough set Membership function QSAR Similarity Decision-making
url	http://link.springer.com/article/10.1186/s42787-020-00078-4
work_keys_str_mv	AT abdelfattahaelatik reductionbasedonsimilarityanddecisionmaking
_version_	1724669085692723200

Reduction based on similarity and decision-making

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