Rough-Fuzzy Classification on a Decision Table using a Threshold- Algorithms and Implementations

Authors(4) :-B. Venkataramana, L. Padmasree, M. Srinivasa Rao, G. Ganesan

Pawlak's tool of rough sets finds various applications in knowledge engineering. In this paper we developed three algorithms for computing rough computing based indices of similar objects in decision table with fuzzy decision attributes using a threshold on fuzziness and also we implemented these algorithms using C.

Authors and Affiliations

B. Venkataramana
Department of Computer Science & Engineering, Holy Mary Institute of Technology, Bogaram, Kesara Mandal, Telengana, India
L. Padmasree
Department of Electronics & Communications Engineering, VNR Vignana Jyothi Institute of Engineering & Technology, Bachupalli ,Nizampet, Telengana,India
M. Srinivasa Rao
School of Information Technology, Jawaharlal Nehru Technological University Hyderabad, Kukatpally, Telangana,India
G. Ganesan
Department of Mathematics, Adikavi Nannaya University, Rajahmundry, Andhra Pradesh, India

Rough Sets, Decision table, Rough Indices, Knowledge Engineering

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 777-782
Manuscript Number : CSEIT1835201
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

B. Venkataramana, L. Padmasree, M. Srinivasa Rao, G. Ganesan, "Rough-Fuzzy Classification on a Decision Table using a Threshold- Algorithms and Implementations", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.777-782, May-June-2018.
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