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Flowgraph Representation of Information System Using Rough Set Theory

Niharika Upadhyay1 , Pragati Jain2

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-6 , Page no. 40-43, Jun-2015

Online published on Jun 29, 2015

Copyright © Niharika Upadhyay , Pragati Jain . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Niharika Upadhyay , Pragati Jain, “Flowgraph Representation of Information System Using Rough Set Theory,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.6, pp.40-43, 2015.

MLA Style Citation: Niharika Upadhyay , Pragati Jain "Flowgraph Representation of Information System Using Rough Set Theory." International Journal of Computer Sciences and Engineering 3.6 (2015): 40-43.

APA Style Citation: Niharika Upadhyay , Pragati Jain, (2015). Flowgraph Representation of Information System Using Rough Set Theory. International Journal of Computer Sciences and Engineering, 3(6), 40-43.

BibTex Style Citation:
@article{Upadhyay_2015,
author = {Niharika Upadhyay , Pragati Jain},
title = {Flowgraph Representation of Information System Using Rough Set Theory},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2015},
volume = {3},
Issue = {6},
month = {6},
year = {2015},
issn = {2347-2693},
pages = {40-43},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=547},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=547
TI - Flowgraph Representation of Information System Using Rough Set Theory
T2 - International Journal of Computer Sciences and Engineering
AU - Niharika Upadhyay , Pragati Jain
PY - 2015
DA - 2015/06/29
PB - IJCSE, Indore, INDIA
SP - 40-43
IS - 6
VL - 3
SN - 2347-2693
ER -

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Abstract

Lot of work has been done to classify raw data, for e.g. Data Mining, Machine Learning etc. But in these approaches uncertainty is not focused. Thus in this we are trying to find accuracy when uncertainty is in raw data. The starting point of rough set theory is an information system In this paper, Rough Set Theory is applied on 9 different mobile brands. Survey is conducted where 334 participants were asked to evaluate these 9 brands on different parameters. Using this information, Decision table and Flow Graph will be created and will found accuracy and strength of same.

Key-Words / Index Term

Rough Sets, Information System and Flow Graph

References

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