Sub-exact sequence of rough groups [PDF]
Al-Jabar, 2021 Rough Set Theory (RST) is an essential mathematical tool to deal with imprecise, inconsistent, incomplete information and knowledge Rough Some algebra structures, such as groups, rings, and modules, have been presented on rough set theory.
Nevi Setyaningsih +2 more
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RST: Rough Set Transformer for Point Cloud Learning [PDF]
Sensors, 2023 Point cloud data generated by LiDAR sensors play a critical role in 3D sensing systems, with applications encompassing object classification, part segmentation, and point cloud recognition. Leveraging the global learning capacity of dot product attention,
Xinwei Sun, Kai Zeng
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Application of Rough Set Theory (RST) to Forecast Energy Consumption in Buildings Undergoing Thermal Modernization [PDF]
Energies, 2020 In many regions, the heat used for space heating is a basic item in the energy balance of a building and significantly affects its operating costs. The accuracy of the assessment of heat consumption in an existing building and the determination of the ...
Tomasz Szul, Stanisław Kokoszka
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Rough Set Theory for Real Estate Appraisals: An Application to Directional District of Naples [PDF]
Buildings, 2017 This paper proposes an application of Rough Set Theory (RST) to the real estate field, in order to highlight its operational potentialities for mass appraisal purposes.
Vincenzo Del Giudice +2 more
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Energies, 2022 The study was carried out on a group of 85 public buildings, which differed in type of use, construction technology and heating systems. From the collected data, a set of qualitative and quantitative variables characterizing them in terms of heat demand ...
Joanna Piotrowska-Woroniak, Tomasz Szul
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Application of the BORUTA Algorithm to Input Data Selection for a Model Based on Rough Set Theory (RST) to Prediction Energy Consumption for Building Heating [PDF]
Energies, 2021 Energy prediction used for building heating has attracted particular attention because it is often required in the development of various strategies to improve the energy efficiency of buildings, especially those undergoing thermal improvements.
Tomasz Szul +2 more
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A combined data mining approach using rough set theory and case-based reasoning in medical datasets [PDF]
Decision Science Letters, 2014 Case-based reasoning (CBR) is the process of solving new cases by retrieving the most relevant ones from an existing knowledge-base. Since, irrelevant or redundant features not only remarkably increase memory requirements but also the time complexity of ...
Mohammad Taghi Rezvan +3 more
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Contextual classification of network traffic through rough set theory and convolutional neural networks [PDF]
Scientific ReportsNow-a-days online activities and the usage of various applications by users are more diverse and led to the tremendous increase of network traffic. Monitoring and analyzing of the network became an issue due to the increased traffic.
Donepudi Priyanka, Y. K. Sundara Krishna
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Enhancing heart disease prediction with stacked ensemble and MCDM-based ranking: an optimized RST-ML approach [PDF]
Frontiers in Digital HealthIntroductionCardiovascular disease (CVD) is a leading global cause of death, necessitating the development of accurate diagnostic models. This study presents an Optimized Rough Set Theory-Machine Learning (RST-ML) framework that integrates Multi-Criteria
T. Ashika, G. Hannah Grace
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Exploring the Health Literacy Behavior Patterns of Male Patients Using an Interpretable Method [PDF]
Risk Management and Healthcare PolicyLizhen Huang,1,* Yanjun Jin,2,* Ching-Wen Chien,3 Qinyi Xu,3 Yen-Ching Chuang,4– 6 Tao-Hsin Tung6,7 1School of Economics and Management, Fuzhou University, Fuzhou, Fujian, 350108, People’s Republic of China; 2Department of Urology, Taizhou ...
Huang L +5 more
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