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Reseach Article

On Uncertain Granular Numbers

by Assem A. Alsawy, Hesham A. Hefny
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 18
Year of Publication: 2013
Authors: Assem A. Alsawy, Hesham A. Hefny
10.5120/10181-5018

Assem A. Alsawy, Hesham A. Hefny . On Uncertain Granular Numbers. International Journal of Computer Applications. 62, 18 ( January 2013), 20-27. DOI=10.5120/10181-5018

@article{ 10.5120/10181-5018,
author = { Assem A. Alsawy, Hesham A. Hefny },
title = { On Uncertain Granular Numbers },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 18 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 20-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number18/10181-5018/ },
doi = { 10.5120/10181-5018 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:12:10.333200+05:30
%A Assem A. Alsawy
%A Hesham A. Hefny
%T On Uncertain Granular Numbers
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 18
%P 20-27
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

When a quantity is measured, the outcome depends on several factors like the measuring system, the measurement procedure, the skill of the operator, the environment, and other effects. In case of inexact quantity the outcome may also depends on the uncertainty representation. Recently inexact numbers got a lot of attention from many researchers in different fields. In this paper, we have tried to give an overview for the different representations of the inexact granular numbers. The objective of this overview is providing a certain insight into the essence of granular data representation being regarded as a framework of representing and manipulation of inexact information, and introduce a new representation of granular uncertain number to be as step in formulate a general form for all uncertain numbers.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy number Rough number Interval Grey number Vague number Granular number