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The Parameterization Reduction of Soft Point and its Applications with Soft Matrix

by Guzide Senel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 164 - Number 1
Year of Publication: 2017
Authors: Guzide Senel
10.5120/ijca2017913564

Guzide Senel . The Parameterization Reduction of Soft Point and its Applications with Soft Matrix. International Journal of Computer Applications. 164, 1 ( Apr 2017), 1-6. DOI=10.5120/ijca2017913564

@article{ 10.5120/ijca2017913564,
author = { Guzide Senel },
title = { The Parameterization Reduction of Soft Point and its Applications with Soft Matrix },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 164 },
number = { 1 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume164/number1/27444-2017913564/ },
doi = { 10.5120/ijca2017913564 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:10:01.702939+05:30
%A Guzide Senel
%T The Parameterization Reduction of Soft Point and its Applications with Soft Matrix
%J International Journal of Computer Applications
%@ 0975-8887
%V 164
%N 1
%P 1-6
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The innovation about soft point in this study is, soft point’s soft matrix form which were not described before is defined for each set of parameters. The matrix representation of soft points is useful for storing all soft points that can be obtained in all different parameters. The proposed soft matrix provides every soft point that changes with each parameter that takes place in a soft set is proved and showed that it enables detailed examination in application of soft set theory.

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Index Terms

Computer Science
Information Sciences

Keywords

Soft set soft point soft matrix soft matrix form of soft point

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