Journal ArticleDOI
Data analysis based on discernibility and indiscernibility
TLDR
The consideration of the matrix- counterpart of relations, and the relation-counterpart of matrices, brings more insights into rough set theory.About:
This article is published in Information Sciences.The article was published on 2007-11-15. It has received 128 citations till now.read more
Citations
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Journal ArticleDOI
The algebraic structures of generalized rough set theory
Guilong Liu,William Zhu +1 more
TL;DR: The structures of the lower and upper approximations based on arbitrary binary relations in the generalized rough sets are presented and an algorithm to compute atoms for these two Boolean algebras is presented.
Journal ArticleDOI
Attribute selection with fuzzy decision reducts
TL;DR: This paper introduces the concept of fuzzy decision reducts, dependent on an increasing attribute subset measure, and presents a generalization of the classical rough set framework for data-based attribute selection and reduction using fuzzy tolerance relations.
Journal ArticleDOI
Theory and applications of granular labelled partitions in multi-scale decision tables
Wei-Zhi Wu,Yee Leung +1 more
TL;DR: A formal approach to granular computing with multi-scale data measured at different levels of granulations is proposed in this paper and the unravelling of decision rules at different scales in multi- scale decision tables is discussed.
Journal ArticleDOI
Combination of feature selection approaches with SVM in credit scoring
F. L. Chen,Feng-Chia Li +1 more
TL;DR: This study suggests that hybrid credit scoring approach is mostly robust and effective in finding optimal subsets and is a promising method to the fields of data mining.
Journal ArticleDOI
Attribute reduction based on evidence theory in incomplete decision systems
TL;DR: This paper deals with attribute reduction in incomplete information systems and incomplete decision systems based on Dempster-Shafer theory of evidence and shows that in an incomplete information system an attribute set is a belief reduct if and only if it is a classical reduct and a plausibility consistent set must be a classical consistent set.
References
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Book
Data mining tasks and methods: Rule discovery: rough set approaches for discovering rules and attribute dependencies
TL;DR: This article presents an elementary overview of techniques for data analysis and predictive modeling from data using the rough set approach, focused on the application of the basic rough set model to knowledge discovery.
Rough Set Methods and Applications
Andrzej Czyzewski,Bozena Kostek +1 more
TL;DR: The rough set method was employed to discover ill-defined relations underlying the implemented perceptual model of hearing, which can be used for suppressing the noise affecting transmitted audio signals.
Book ChapterDOI
Tree-Like Parallelization of Reduct and Construct Computation
TL;DR: The paper presents a so-called constrained tree-like model of parallelization of this task and illustrates practical behaviour of this algorithm in a computational experiment.