Combinations of Fuzzy Rough Covers and Covering Principles
D. Vidhya
D. Vidhya, Department of Mathematics, Vels Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai (Tamil Nadu), India.
Manuscript received on 24 November 2019 | Revised Manuscript received on 18 December 2019 | Manuscript Published on 30 December 2019 | PP: 397-399 | Volume-9 Issue-1S4 December 2019 | Retrieval Number: A11931291S419/19©BEIESP | DOI: 10.35940/ijeat.A1193.1291S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Rough set deals the mathematical approach to uncertain knowledge. It has many interesting applications in the area of machine learning, decision analysis, pattern recognition etc., A fuzzy rough set is a generalization of a rough set, derived from the approximation of a fuzzy set. The focus of fuzzy rough set is to define lower and upper approximation from the universal set. This paper gives four operations of open covers and three notions of covering principles in fuzzy rough set. Also investigates the relations of covers and principles. Finally combine the open covers and principles, find the relationship between them.
Keywords: Fuzzy Rough Cover(s), Covering Principle(s).
Scope of the Article: Fuzzy Logics