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 ChapterDOI
Characterizations of attributes in generalized approximation representation spaces
TL;DR: Characterizations of three important types of attribute sets in generalized approximation representation spaces, in which binary relations on the universe are reflexive, are discussed.
Book ChapterDOI
Ruzzy Representations in Rough Set Approximations
TL;DR: This work presents an approach to knowledge representation and rough set-based inductive learning using a fuzzy set representation of information, which is an enhancement of the Property Set model in which each object is represented by a collection of properties.
Conflicts and negotiations
TL;DR: This paper presents a meta-anatomy of Rough Sets and Knowledge Technology, a model derived from the model developed in the second edition of Lecture Notes in Artificial Intelligence, volume 4062, Berlin, Germany, 2006.