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Electromagnetic scattering from random rough surface using higher-order GTD-RT numerical technique for optical wireless communications. [PDF]
Sci RepFarahat AE, Hussein KFA.
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Attribute reduction based on classes in incomplete ordered decision systems. [PDF]
Sci RepChen C, Yin F, Wu L, Hu J.
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Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases. [PDF]
Sci RepMalik S +9 more
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From CBC to clarity: Interpretable detection of beta-thalassemia carriers in imbalanced datasets. [PDF]
PLoS OneChishti S +4 more
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Synergistic Multi-Granularity Rough Attention UNet for Polyp Segmentation. [PDF]
J ImagingWang J, Lim CS.
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Chemometrics and Intelligent Laboratory Systems, 1999
Abstract The basic concepts of the rough set theory are introduced and adequately illustrated. An example of the rough set theory application to the QSAR classification problem is presented. Numerous earlier applications of rough set theory to the various scientific domains suggest that it also can be a useful tool for the analysis of inexact ...
Walczak, Beata, Massart, Desire
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Abstract The basic concepts of the rough set theory are introduced and adequately illustrated. An example of the rough set theory application to the QSAR classification problem is presented. Numerous earlier applications of rough set theory to the various scientific domains suggest that it also can be a useful tool for the analysis of inexact ...
Walczak, Beata, Massart, Desire
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Rough set theory applied to lattice theory
Information Sciences, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Estaji, A. A. +2 more
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2017
This chapter discusses the basic preliminaries of rough set theory (RST). Since its inception, RST has been a prominent tool for data analysis due to its analysis friendly nature. RST provides a range of data structures, e.g. information systems, decision systems and approximations, to represent the real-world data.
Muhammad Summair Raza, Usman Qamar
+4 more sources
This chapter discusses the basic preliminaries of rough set theory (RST). Since its inception, RST has been a prominent tool for data analysis due to its analysis friendly nature. RST provides a range of data structures, e.g. information systems, decision systems and approximations, to represent the real-world data.
Muhammad Summair Raza, Usman Qamar
+4 more sources
2008
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effective tool in classification problems and decision support. In the majority of applications using RST based methodologies, there is the construction of ‘if .. then ..’ decision rules that are used to describe the results from an analysis.
Shashi Shekhar, Hui Xiong
openaire +2 more sources
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effective tool in classification problems and decision support. In the majority of applications using RST based methodologies, there is the construction of ‘if .. then ..’ decision rules that are used to describe the results from an analysis.
Shashi Shekhar, Hui Xiong
openaire +2 more sources