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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Proceedings ArticleDOI
Rough set methods based on discernibility relationship in IIS
Yanlin Li,Lihua Wei +1 more
TL;DR: In this paper a new kind of discernibility relationship is defined for studying Incomplete Information System and it is shown that the rough set model based on discernible relationship is so easily constructed.
Proceedings ArticleDOI
Attributes reduction model with user preferences
TL;DR: This work designs the novel data structure of linked list to storage the elements for discerning pairwise items and adopt discernibility thresholds to avoid overfitting and demonstrates that the proposed attributes reduction model is effective to extract the data patterns consistent with user requirements.
Proceedings Article
Credit Scoring Based on Hybrid Data Mining Classification
TL;DR: The results suggest that hybrid credit scoring models are robust and effective in finding optimal subsets and the compound procedure is a promising method to the fields of data mining.
Book ChapterDOI
Rough Sets for Condition Monitoring
TL;DR: This chapter applies the rough set technique and the ant colony optimization method for the condition monitoring of transformer bushings and shows that the ant colonies optimization gives marginally better results than the equal-frequency-bin partition method.
Towards a Logic of Dilation.
Arina Britz,Ivan Varzinczak +1 more
TL;DR: PRUV 2014: 1st Workshop on Reasoning about Preferences, Uncertainty, and Vagueness, Vienna, Austria, 23-24 July 2014.
References
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Book ChapterDOI
The Discernibility Matrices and Functions in Information Systems
Andrzej Skowron,Cecylia Rauszer +1 more
TL;DR: In this article, the authors introduce two notions related to any information system, namely the discernibility matrix and discernibility function, and obtain several algorithms for solving problems related among other things to the rough definability, reducts, core and dependencies generation.
Journal ArticleDOI
Relational interpretations of neighborhood operators and rough set approximation operators
TL;DR: This paper presents a framework for the formulation, interpretation, and comparison of neighborhood systems and rough set approximations using the more familiar notion of binary relations, and introduces a special class of neighborhood system, called 1-neighborhood systems.
Journal ArticleDOI
A generalized definition of rough approximations based on similarity
TL;DR: New definitions of lower and upper approximations are proposed, which are basic concepts of the rough set theory and are shown to be more general, in the sense that they are the only ones which can be used for any type of indiscernibility or similarity relation.
Book
Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory
TL;DR: The use of 'Rough Sets' Methods to draw Premonitory Factors for Earthquakes by emphasising Gas Geochemistry: The Case of a Low Seismic Activity Context in Belgium J.T. Polkowski is used.