rough set upper approximation
Realization of Rough Set Approximation Toplogical Operations Based on Formal Concept Analysis
... between rough set theory and concept lattice is pointed out, but in practice how to realize the operation of rough set by using concept lattice is still left as a ...realize rough ...
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Obtaining Rough Set Approximation using MapReduce Technique in Data Mining
... mining. Rough set theory is one of the data mining tool use for data analysis ...[9]. Rough set theory was developed in 1980s by ZdzislawPawlak ...This rough set theory has ...
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Decision Analysis via Granulation Based on General Binary Relation
... of rough sets (under general ...of rough set theory based on partition is a special type of topological ...and upper approximations in this model are exactly the closure and interior in ...of ...
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Applying Generalized Rough Set Concepts to Approximation Spaces of Semigroups
... Pawlak’s rough set theory is a influential tool for several assessment and decision problems of uncertain data in information ...Pawlak’s rough set has been regarded as an approximation ...
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Rough Filters in 𝐵𝐿 Algebras
... and upper approximations are related to the interior and closure operators in topological spaces, the necessity and possibility operators in modal logic, and lower and upper approximations in interval ...
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DYNAMIC REDUCTS IN OBJECT ORIENTED INFORMATION SYSTEM USING ROUGH SET THEORY
... Rough set theory [1, 2] provides a theoretical foundation of approximation of ...and upper approximations by indiscernibility relations illustrate set-theoretic approximations of ...
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ROUGH TOPOLOGY ON APPROXIMATION SPACES
... between rough set approximations and topological spaces, only a few works are there on the concept of rough ...defined rough topology on a rough set by using a metric and then ...
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ROUGH BIPOLAR NEUTROSOPHIC SET
... membership and falsity membership respectively of an element z ∈ Z corresponding to a bipolar neutrosophic set B. The negative membership degrees T - ( Z ), I - ( Z ), and F - ( Z ) denote the truth membership, ...
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GUIDING FEATURE BASED SAR IMAGE ALIGNMENT USING BAG OF WORDS MODEL
... a set, its boundary region is signified by the set difference between its upper and lower approximations ...The rough set theory is illustrated in Figure 7 in terms of its concept while ...
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Vol 1, No 1 (2013)
... The rough data querying is discussed based on granular computing ...lower approximation and upper approximation of every atomic value in attribute‟s domain, and got the final results by ...
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PARALLEL ROUGH SET APPROXIMATION USING MAPREDUCE TECHNIQUE IN HADOOP
... Rough set theory can be considered as a tool to study the uncertain, indescendent data by classifying the set into ternary classification as lower, upper and boundary ...the rough ...
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Retrieving the Missing Information from Information Systems Using Rough Set, Covering Based Rough Set and Soft Set
... Rough set, introduced by Pawlak [1, 15], is a notion of describing the objects based on the precise observations of ...prevents set of objects. Only upper and lower approximations of ...
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IJCSMC, Vol. 2, Issue. 11, November 2013, pg.70 – 78 RESEARCH ARTICLE A HYBRID APPROACH FOR HANDLING UNCERTAINTY - PROBABILISTIC THEORY, CERTAINTY FACTOR AND FUZZY LOGIC
... The rough set theory was proposed by Zdzisław ...formal approximation of a crisp set in terms of a pair of sets which give the lower and the upper approximation of the original ...
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Concept Lattice: A rough set approach
... and rough set [7] and ...an upper approximations, we can describe every subset of the ...and upper approximations in rough set theory are fundamental to the examination of ...
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Searching contexts in paraconsistent rough description logic
... the upper approximation of a concept C in ALC as the set of individuals in C that are indiscernible from at least an individual known to belong to C ...lower approximation of a concept C as ...
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Approximation operator based on neighborhood systems
... of rough set was first propsed by ...the rough set theory has its ...the rough theory [11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, ...Pawlak’s rough set theory is that ...
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Generalized TL fuzzy rough rings via TL fuzzy relational morphisms
... )-fuzzy rough approximation operators with respect to a T L-fuzzy ideal of the ...and upper approximations to ν-lower and T -upper fuzzy rough approximations with respect to T ...
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A Rough Set View on Bayes Theorem
... the rough set approach, Bayes’ theorem reveals data patterns, used next to draw conclusions from data, in the form of decision rules, which refer to objective probabilities computed from ...
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On Multigranular Rough Soft Set
... soft set theory to handle uncertainty. Soft set is defined as the image of the function from attribute subset to the power set of the universal ...soft set theory, Pawlak [3] identified ...
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Vol 3, No 9 (2012)
... the approximation space ( Ω , R ) and we are totally unaware about the indefinable sets in the knowledge ...the rough topology τ = ( τ τ L , U ) , indefinable sets can also be rough ...is ...
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