Attribute Reduction Based on Property Pictorial Diagram [PDF]
This paper mainly studies attribute reduction which keeps the lattice structure in formal contexts based on the property pictorial diagram. Firstly, the property pictorial diagram of a formal context is defined.
Qing Wan, Ling Wei
doaj +3 more sources
Impact of Local Congruences in Attribute Reduction [PDF]
Local congruences are equivalence relations whose equivalence classes are convex sublattices of the original lattice. In this paper, we present a study that relates local congruences to attribute reduction in FCA. Specifically, we will analyze the impact in the context of the use of local congruences, when they are used for complementing an attribute ...
Aragón R, Medina J, Ramírez-Poussa E.
europepmc +6 more sources
A dynamic attribute reduction algorithm based on relative neighborhood discernibility degree [PDF]
This paper addresses the current existence of attribute reduction algorithms for incomplete hybrid decision-making systems, including low attribute reduction efficiency, low classification accuracy and lack of consideration of unlabeled data types.
Weibing Feng, Tiantian Sun
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A Parallel Attribute Reduction Method Based on Classification
Parallel processing as a method to improve computer performance has become a development trend. Based on rough set theory and divide-and-conquer idea of knowledge reduction, this paper proposes a classification method that supports parallel attribute ...
Deguang Li, Zhanyou Cui
doaj +2 more sources
Approximate Accuracy Approaches to Attribute Reduction for Information Systems [PDF]
The key problem for attribute reduction to information systems is how to evaluate the importance of an attribute. The algorithms are challenged by the variety of data forms in information system.
Deshan Liu +3 more
doaj +2 more sources
Attribute Reduction in Intuitionistic Fuzzy Concept Lattices [PDF]
As an effective tool for knowledge discovery, concept lattice has been successfully applied to various fields. And one of the key problems of knowledge discovery is attribute reduction.
Jinzhong Pang, Xiaoyan Zhang, Weihua Xu
doaj +2 more sources
Heuristic Approaches to Attribute Reduction for Generalized Decision Preservation
Attribute reduction is a challenging problem in rough set theory, which has been applied in many research fields, including knowledge representation, machine learning, and artificial intelligence.
Nan Zhang, Xueyi Gao, Tianyou Yu
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Multigranulation Supertrust Model for Attribute Reduction [PDF]
As big data often contains a significant amount of uncertain, unstructured, and imprecise data that are structurally complex and incomplete, traditional attribute reduction methods are less effective when applied to large-scale incomplete information ...
Wei-Ping Ding +4 more
semanticscholar +4 more sources
Soft discernibility matrix and attribute reduction for information systems
A new concept of soft discernibility matrix was proposed, and related theorems were given. By using soft discernibility matrix,attribute reductions of incomplete information systems, fuzzy value information systems and vague sets value information ...
YAN De-qin1, LI Ke-qiu2, CHI Zhong-xian2
doaj +1 more source
Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels [PDF]
Attribute reduction is attracting considerable attention in the theory of rough sets, and thus many rough-set-based attribute reduction methods have been presented.
Can Gao +4 more
semanticscholar +1 more source

