Multi knowledge based rough approximations and applications

Faculty	Science	Year:	2012
Type of Publication:	Article	Pages:	20-29
Authors:	Abu-Donia, H. M	DOI:	10.1016/j.knosys.2011.06.010
Journal:	KNOWLEDGE-BASED SYSTEMS ELSEVIER SCIENCE BV	Volume:	26
Research Area:	Computer Science	ISSN	ISI:000299979400003
Keywords :	Rough sets, Lower and upper approximations, Right neighborhoods, Accuracy measure, Left neighborhoods, Topological spaces
Abstract:	Rough set theory is an important technique in knowledge discovery in databases. In covering based rough sets, many types of rough set models are established in recent years. This paper presents new types of rough set approximations using multi knowledge base, that is, family of finite number of (reflexive, tolerance, dominance, equivalence) relations by two ways. Properties and applications of these approximation operators are studied and many examples are given. (C) 2011 Published by Elsevier B.V.
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