Hepatitis B Disease Diagnosis Using Rough Set [PDF]
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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Improved Deep Learning Model for Forecasting Short-Term Load Based on Random Forest Algorithm and Rough Set Theory [PDF]
Accurate power load forecasting is conducive to ensuring the safe and economic operation of the power system. Aiming at the problems of low prediction accuracy and long time consuming of the current prediction algorithms, an improved deep learning (DL ...
FENG Yu +6 more
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Sub-exact sequence of rough groups [PDF]
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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Rough-Set-Theory-Based Classification with Optimized k-Means Discretization [PDF]
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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Rule Generation Based on Novel Kernel Intuitionistic Fuzzy Rough Set Model [PDF]
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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Development of Toast Packaging Design Using Rough Set Theory (RST) Based on Kansei Engineering (KE) [PDF]
The current toast packaging has not met customer satisfaction due to the use of inappropriate packaging materials and unattractive packaging design. Therefore, it is necessary to plan and develop packaging with Kansei Engineering (KE) that is able to translate consumer emotions.
Lytta Yennia Putri, Novi Purnama Sari
openaire +3 more sources
Analysis of Halo Effect of Customers Behavior by Using Net Promoter Score (NPS) and Rough Set Theory (RST)(Case Study: Sony Ericsson Mobile Phone) [PDF]
Consumer psychology is one of the most popular trends of psychology in recent years which more than anything is related to understanding and analysis of consumer behavior.
Efat Mohammadi, Reza Sheikh
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Rough Set Theory for Real Estate Appraisals: An Application to Directional District of Naples [PDF]
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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Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models [PDF]
This study introduces a novel framework leveraging Rough Set Theory (RST)-based feature selection—MLReduct, MLSpecialReduct, and MLFuzzyRoughSet—to enhance machine learning performance on uncertain data.
Sami Naouali, Oussama El Othmani
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IntroductionThe main purpose of this study is to extract the rules and patterns governing the behavioral intention of consumers towards the adoption of genetically modified foods (GMFs).MethodThe proposed method is a combination of Rough Set Theory (RST)
Morteza Akbari +3 more
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