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α-RST: a generalization of rough set theory

Information Sciences, 2000
The paper presents an approach called Alpha Rough Set Theory (\(\alpha\)-RST) as a generalization of rough set approach. The values of attributes in information systems are assumed to be pairs \((\ell,v)\) consisting of the linguistic variable \(\ell\) and the value \(v\) of the fuzzy membership function corresponding to the linguistic variable 1 ...
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RST-DCA: A Dendritic Cell Algorithm Based on Rough Set Theory

2012
The Dendritic Cell Algorithm (DCA) is an immune-inspired classification algorithm based on the behavior of dendritic cells. The DCA performance depends on its data pre-processing phase including feature selection and their categorization to specific signal types. For feature selection, DCA applies the principal component analysis (PCA).
Zeineb Chelly, Zied Elouedi
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Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space

IEEE Transactions on Fuzzy Systems, 2023
Jihong Wan, Hongmei Chen, Trli30
exaly

Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction

IEEE Transactions on Fuzzy Systems, 2020
Bin Cao, Jianwei Zhao, Zhi-Han Lv
exaly

A framework of index system for gauging the sustainability of iranian provinces by fusing analytical hierarchy process (AHP) and rough set theory (RST)

Socio-Economic Planning Sciences
Faramarz Khosravi, Gokhan Izbirak
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Rough Set Theory (RST)

2011
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Rough Set Theory (RST)

2009
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The two sides of the theory of rough sets

Knowledge-Based Systems, 2015
Yiyu Yao
exaly