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
Tri-partition cost-sensitive active learning through kNN
TL;DR: A new algorithm called tri-partition active learning through k-nearest neighbors (TALK) is proposed to minimize the total teacher and misclassification costs.
Book
Economic Modeling Using Artificial Intelligence Methods
TL;DR: Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation.
Journal ArticleDOI
The generic genetic algorithm incorporates with rough set theory - An application of the web services composition
Wen-Yau Liang,Chun-Che Huang +1 more
TL;DR: The advantages of the proposed solution approach include: solving problems that can be decomposed into functional requirements, and improving the performance of the GA by reducing the domain range of the initial population and constrained crossover using rough set theory.
Journal ArticleDOI
Similarity-based attribute reduction in rough set theory: a clustering perspective
TL;DR: A similarity-based attribute reduct is defined based on a clustering perspective, which can maintain or increase the discriminating ability of different clusters in the case of removing redundant attributes and can significantly improve the classification performance.
Journal ArticleDOI
On knowledge acquisition in multi-scale decision systems
Shen-Ming Gu,Wei-Zhi Wu +1 more
TL;DR: The concept of multi- scale decision systems is introduced, and a formal approach to knowledge acquisition measured at different levels of granulations is also proposed, and some algorithms for knowledge acquisition in consistent and inconsistent multi-scale decision systems are proposed with illustrative examples.
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.