Results 11 to 20 of about 1,508,110 (292)
Neutrosophic Sets and Systems, 2014 Both neutrosophic sets theory and rough sets theory are emerging as powerful tool for managing uncertainty, indeterminate, incomplete and imprecise information.
Said Broumi +2 more
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International Journal of Computational Intelligence Systems, 2014 Rough set theory gives approximation models of complex knowledge structure. Agents are not present in the definition of the rough sets. Now we will show that a set of conflicting agents or active set can be used to model inconsistent decision in rough ...
Germano Resconi, Chris Hinde
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Soft Covering Based Rough Sets and Their Application [PDF]
The Scientific World Journal, 2014 Soft rough sets which are a hybrid model combining rough sets with soft sets are defined by using soft rough approximation operators. Soft rough sets can be seen as a generalized rough set model based on soft sets.
Şaziye Yüksel +2 more
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An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets [PDF]
Entropy, 2019 Attribute reduction as an important preprocessing step for data mining, and has become a hot research topic in rough set theory. Neighborhood rough set theory can overcome the shortcoming that classical rough set theory may lose some useful information ...
Lin Sun +3 more
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ROUGH SETS, ROUGH RELATIONS AND ROUGH FUNCTIONS
Fundamenta Informaticae, 1996 The paper explores the concepts of approximate relations and functions in the framework of the theory of rough sets. The difficulties with the application of the idea of rough relation to general rough function definition are discussed. The definition of rough function for the domain of real numbers is introduced and its properties are investigated in ...
Zdzislaw Pawlak
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A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures [PDF]
Entropy, 2019 For continuous numerical data sets, neighborhood rough sets-based attribute reduction is an important step for improving classification performance. However, most of the traditional reduction algorithms can only handle finite sets, and yield low accuracy
Lin Sun +3 more
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Soft Interval-Valued Neutrosophic Rough Sets [PDF]
Neutrosophic Sets and Systems, 2015 In this paper, we first defined soft interval-valued neutrosophic rough sets(SIVN- rough sets for short) which combines interval valued neutrosophic soft set and rough sets and studied some of its basic properties.
Said Broumi, Florentin Smarandache
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Annals of computer science and information systems, 2014 I will analyze Pawlak’s rough sets and extend the usual setting of characterization via an equivalence relation to any arbitrary relation, or a full relation. I extract the specification of rough sets by two operators: probable operator and sure operator.
Ray-Ming Chen
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A Treatise on Rough Sets [PDF]
, 2005 This article presents some general remarks on rough sets and their place in general picture of research on vagueness and uncertainty – concepts of utmost interest, for many years, for philosophers, mathematicians, logicians and recently also for computer scientists and engineers particularly those working in such areas as AI, computational intelligence,
Pawlak, Zdzisław
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Some operations on rough bipolar interval neutrosophic sets [PDF]
Neutrosophic Sets and Systems, 2021 In this study we introduce the concept of rough bipolar interval neutrosophic sets which is a combination of rough sets and bipolar interval neutrosophi sets. Also, we define union, complement, intersection and some interesting properties of this set.
V.S. Subha, P. Dhanalakshmi
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