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Reseach Article

Rough Set Applications for the Classification of Managerial Policies Effect on Industries

by Ratnakar Das, Deepti Mishra, Sujogya Mishra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 6
Year of Publication: 2017
Authors: Ratnakar Das, Deepti Mishra, Sujogya Mishra
10.5120/ijca2017916037

Ratnakar Das, Deepti Mishra, Sujogya Mishra . Rough Set Applications for the Classification of Managerial Policies Effect on Industries. International Journal of Computer Applications. 180, 6 ( Dec 2017), 1-4. DOI=10.5120/ijca2017916037

@article{ 10.5120/ijca2017916037,
author = { Ratnakar Das, Deepti Mishra, Sujogya Mishra },
title = { Rough Set Applications for the Classification of Managerial Policies Effect on Industries },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 180 },
number = { 6 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number6/28801-2017916037/ },
doi = { 10.5120/ijca2017916037 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:59:52.358254+05:30
%A Ratnakar Das
%A Deepti Mishra
%A Sujogya Mishra
%T Rough Set Applications for the Classification of Managerial Policies Effect on Industries
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 6
%P 1-4
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Rough Set is a very handy soft computing tools for data analysis. This paper analyze the policies of the managements towords their employees using RST

References
  1. S.K. Pal, A. Skowron (Eds.), Rough Fuzzy Hybridization, Springer, Berlin, 1999
  2. Z. Pawlak, Rough Sets, International Journal of Computer and Information Sciences, 11 (1982) 341–356.
  3. Z. Pawlak, Rough Sets: Theoretical Aspects of Reasoning about Data, System Theory, Knowledge Engineering and Problem Solving, 9, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1991
  4. Z. Pawlak, Decision Rules, Bayes_ rule and Rough Sets, in: N. Zhong, A. Skowron, S. Ohsuga (Eds.), New Direction in Rough Sets, Data Mining, and Granular-Soft Computing, Springer, Berlin, 1999, pp. 1–9
  5. L. Polkowski, A. Skowron (Eds.), “Rough Sets and Current Trends in Computing”, Lecture Notes in Artificial Intelligence, 1424, Springer, Berlin, 1998
  6. L. Polkowski, A. Skowron (Eds.), “Rough Sets in Knowledge Discovery”, 1–2, Physica Verlag, A Springer Company, Berlin, 1998.
  7. L. Polkowski, S. Tsumoto, T.Y. Lin (Eds.), “Rough Set Methods and Applications–New Developments in Knowledge Discovery in Information Systems”, Springer, Berlin, 2000, to Appear.
  8. N. Zhong, A. Skowron, S. Ohsuga (Eds.), New Direction in Rough Sets Data Mining and Granular-Soft Computing, Springer, Berlin, 1999.
  9. Renu Vashist M.L.Garg “Rule Generation based on Reduct and Core:A Rough Set Approach”,vol-29 no-9 IJCA 2011
Index Terms

Computer Science
Information Sciences

Keywords

RST-Rough Set Theory