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

Authors

  • 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

Keywords:

Rough Sets, Decision table, Rough Indices, Knowledge Engineering

Abstract

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.

References

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  2. D.Latha, D.Rekha, K.Thangadurai, G.Ganesan; Probabilistic Rough Classification in Information Systems with Fuzzy Decision Attributes, International Journal on Recent and Innovation Trends in Computing and Communication, Vol:1 Issue: 6, pp: 547-552, 2013
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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-06-30

Issue

Volume 3, Issue 5, May-June-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.