The Rough Set Attribute
نویسنده
چکیده
منابع مشابه
Mining Incomplete Data with Many Missing Attribute Values A Comparison of Probabilistic and Rough Set Approaches
In this paper, we study probabilistic and rough set approaches to missing attribute values. Probabilistic approaches are based on imputation, a missing attribute value is replaced either by the most probable known attribute value or by the most probable attribute value restricted to a concept. In this paper, in a rough set approach to missing attribute values we consider two interpretations of ...
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Attribute reduction is one of the most important issues and the focus of the research on efficient algorithms in rough sets. This paper focus on the routing selection algorithms and application used to compute QoS routes in OSPF protocol that are based on the rough set, which the attribute-value system about the link of network is created from the network topology. The use of rough set method c...
متن کاملRough set approach to incomplete numerical data
The theory rough set successfully implemented diberbagai sector , but rough set model classical can only associated with the data complete and set of data in symbolic form ( Jianhua , dai , 2013 ) . Research by adopting the theory rough set conducted in attribute numerical and the value of an attribute lost ( Jerzy w , Grzymala-Buse and Zdzislaw S , Hippe , Nov .2011 ) .In this research discuss...
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The aim of this paper is to introduce and study set- valued homomorphism on lattices and T-rough lattice with respect to a sublattice. This paper deals with T-rough set approach on the lattice theory. The result of this study contributes to, T-rough fuzzy set and approximation theory and proved in several papers. Keywords: approximation space; lattice; prime ideal; rough ideal; T-rough set; set...
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Rough set theory is used in data mining through complex learning systems and uncertain information decision from artificial intelligence. For multiple attribute decision making, rough sets employ attribute reduction to generate decisive rules. However, dynamic information databases, which record attribute values changing with time, raise questions to rough set based multiple attribute reduction...
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Attribute Reduction has a significant role in different branches of artificial intelligence like machine learning, pattern recognition, data mining from databases etc. This paper deals with reduction of unimportant attribute(s) for classification and decision making, using Fuzzy-Rough set. A survey of Fuzzy-Rough set based methods for attribute reduction is presented here.
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