Results 21 to 30 of about 34,687 (147)
Rule Generation Based on Novel Kernel Intuitionistic Fuzzy Rough Set Model
IEEE Access, 2018 This paper develops a novel kernel intuitionistic fuzzy rough set (KIFRS) model as a hybrid model to improve the effects of rule generation based on rough sets.
Kuo-Ping Lin +2 more
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Polish Cartographical Review, 2020 Selection is a key element of the cartographic generalisation process, often being its first stage. On the other hand it is a component of other generalisation operators, such as simplification.
Fiedukowicz Anna
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Applications of Rough Sets in Big Data Analysis: An Overview
International Journal of Applied Mathematics and Computer Science, 2021 Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in current research and industrial applications.
Pięta Piotr, Szmuc Tomasz
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Enabling decision trend analysis with interactive scatter plot matrices visualization [PDF]
, 2016 © 2015 Elsevier Ltd. This paper presents a new interactive scatter plot visualization for multi-dimensional data analysis. We apply Rough Set Theory (RST) to reduce the visual complexity through dimensionality reduction.
Huang, ML +5 more
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Rough-Set-Theory-Based Classification with Optimized k-Means Discretization
Technologies, 2022 The discretization of continuous attributes in a dataset is an essential step before the Rough-Set-Theory (RST)-based classification process is applied. There are many methods for discretization, but not many of them have linked the RST instruments from ...
Teguh Handjojo Dwiputranto +2 more
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Hepatitis B Disease Diagnosis Using Rough Set
Communications, 2013 This paper describes processing of the medical data by means of the prediction system based on Rough Set Theory (RST). The Rough Sets proved to be very useful for the analysis of the decision problems concerning objects described in a data table by a set
Tomasz Kanik
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Autonomous clustering using rough set theory [PDF]
, 2008 This paper proposes a clustering technique that minimises the need for subjective human intervention and is based on elements of rough set theory. The proposed algorithm is unified in its approach to clustering and makes use of both local and global ...
A. K. Jain +33 more
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New Measures of Uncertainty for Interval-Valued Data With Application to Attribute Reduction
IEEE Access, 2022 Uncertainty measurement (UM) gives a brand-new perspective on attribute reduction in an information system (IS). Interval-valued data is a kind of very vital data in rough set theory (RST).
Lulu Li
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IEEE Access, 2020 Attribute reduction is a challenging issue in intelligent manufacturing. Existing methods are mainly based on rough set theory (RST) focusing on symbolic and discrete values.
Zhiwen Zhang +4 more
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The Doppler Peaks from Cosmic Texture [PDF]
, 1995 We compute the angular power spectrum of temperature anisotropies on the microwave sky in the cosmic texture theory, with standard recombination assumed.
D. Coulson +11 more
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