Application of Rough Set Theory to Improve Outpatient Medical Service Quality in Public Hospitals Based on the Patient Perspective [PDF]
Frontiers in Public Health, 2021 Purpose: To analyze the key factors and decision-making behaviors affecting overall satisfaction based on perceptual data of outpatients.Methods: The official satisfaction questionnaire developed by the National Health Commission of the People's Republic
Man-Li Du +5 more
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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]
مدیریت بازرگانی, 2013 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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发电技术, 2023 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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Strongly Connected Components Mining Algorithm Based on k-step Search of Vertex Granule and Rough Set Theory [PDF]
Jisuanji kexue, 2022 Strong connected components (SCCs) mining is one of the classic problems in graph theory.It has practical requirements to design a serial SCCs mining algorithm with high efficiency.GRSCC algorithm can use SUB-RSCC function to discover SCCs of simple ...
CHENG Fu-hao, XU Tai-hua, CHEN Jian-jun, SONG Jing-jing, YANG Xi-bei
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An Efficient Classification Model using Fuzzy Rough Set Theory and Random Weight Neural Network [PDF]
, 2021 In the area of fuzzy rough set theory (FRST), researchers have gained much interest in handling the high-dimensional data. Rough set theory (RST) is one of the important tools used to pre-process the data and helps to obtain a better predictive model ...
Rana Aamir Raza
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Frontiers in Sustainable Food Systems, 2023 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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Sequential Design-Space Reduction and Its Application to Hull-Form Optimization
Journal of Marine Science and Engineering, 2023 Hull-form optimization is a complex engineering problem. Owing to the several numerical simulations and complex design-performance spaces, hull-form optimization is considered an inefficient process, which makes determining the global optimum difficult ...
Zu-Yuan Liu +4 more
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Energies, 2023 This work presents the results of a study that used a model based on rough set theory (RST) to assess the brine temperature of vertical ground heat exchangers (VGHEs) to feed heat pumps (HP). The purpose of this research was to replace costly brine temperature measurements with a more efficient approach.
Joanna Piotrowska-Woroniak +2 more
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Rough Sets as a Knowledge Discovery and Classification Tool for the Diagnosis of Students with Learning Disabilities [PDF]
International Journal of Computational Intelligence Systems, 2011 Due to the implicit characteristics of learning disabilities (LDs), the diagnosis of students with learning disabilities has long been a difficult issue.
Tung-Kuang Wu +4 more
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Parkinson’s disease development prediction by c-granule computing compared to different AI methods
Journal of Information and Telecommunication, 2020 Both rough set theory (RST) and fuzzy rough set theory (FRST) are related to intelligent granular computing (GrC) primarily with the help of static granules.
Andrzej W. Przybyszewski +1 more
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