Flowgraph Representation of Information System Using Rough Set Theory

Authors

  • Upadhyay N Department of Science, Pacific University, India
  • Jain P Department of Science, St. Paul Institute of Professional Studies, India

Keywords:

Rough Sets, Information System And Flow Graph

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.

References

Abraham A., Bello R. and Falcon R., “Rough Set Theory: A True Landmark in Data Analysis”, Studies in Computational Intelligence, Vol. 174, 1-324.

Rissino S. and Torres G. L., “Rough Set Theory – Fundamental Concepts, Principals, Data Extraction, and Applications”, Julio Ponce and Adem Karahoca, ISBN, 35-58.

Zbigniew S., “An Introduction to Rough Set Theory and Its Applications”, ICENCO, 27- 30.

Pawlak Z., “Rough sets”, International Journal of Computer and Information Sciences, 11,341- 356.

Biswas, R., and S. Nanda, “Rough groups and rough subgroups”, Bulletin of the Polish Academy of Sciences Mathematics, vol.42, no.3, pp.251-254.

Pawlak, Z., “Rough sets and fuzzy sets”, Fuzzy Sests and Systems, vol.17, pp.99-102.

Pawlak, Z., “Hard and soft sets”, Fuzzy Sets and Knowledge-Discovery, pp.130-135.

Pawlak, Z., and R. Slowinski, “Rough set approach to multi–attribute decision analysis”, European Journal of Operational Research, vol.72, pp.443-449.

Pawlak, Z, “Rough sets and intelligent data analysis”, Information Sciences, vol.147, pp.1-12.

Downloads

Published

2025-11-10

How to Cite

[1]
N. Upadhyay and P. Jain, “Flowgraph Representation of Information System Using Rough Set Theory”, Int. J. Comp. Sci. Eng., vol. 3, no. 6, pp. 40–43, Nov. 2025.

Issue

Section

Research Article