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Axiomatic systems for rough sets and fuzzy rough sets
International Journal of Approximate Reasoning, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guilong Liu
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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
doaj +3 more sources
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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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
doaj +2 more sources
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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Approximations of interval neutrosophic hyperideals in semi-hyper-rings [PDF]
Neutrosophic Sets and Systems, 2023 This paper deals with the combination of rough sets and interval neutrosophic sets. We introduce the interval neutrosophic hyper-ideals in semi-hyper-rings. Also we study the rough interval neutrosophic hyper-ideals in semi-hyper-rings.
P. Dhanalakshmi
doaj +1 more source
Cost-sensitive Multigranulation Approximation of Neighborhood Rough Fuzzy Sets [PDF]
Jisuanji kexue, 2023 Multigranulation neighborhood rough sets are a new data processing mode in the theory of neighborhood rough sets,in which the target concept can be characterized by upper/lower approximate boundaries of optimistic and pessimistic,respectively ...
YANG Jie, KUANG Juncheng, WANG Guoyin, LIU Qun
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Reasoning with Rough Sets and Paraconsistent Rough Sets.
, 2010 This thesis presents an approach to knowledge representation combining rough sets and para-consistent logic programming. The rough sets framework proposes a method to handle a specific type of uncertainty originating from the fact that an agent may perceive different objects of the universe as being similar, although they may have di®erent properties ...
Vitória, Aida
openaire +3 more sources