Results 51 to 60 of about 758 (175)
Injective module based on rough set theory [PDF]
, 2015 : It is important to handle real-life problems algebraically, but as most of the real-life problems as well as the applications are imprecise (i.e. vague, inexact, or uncertain), it makes harder to analyze algebraically, while Rough Set Theory (RST) has
& Sinha, Prakash
core
ROUGH LATTICE OVER BOOLEAN ALGEBRA
Journal of New Theory, 2015 − Rough Set Theory (RST) is a mathematical formalism for representing uncertainty thatcan be considered as an extension of the classical set theory. It has been used in many differentresearch areas, including those related to inductive machine learning ...
Dipankar Rana, Sankar Kumar Roy
doaj
Enhanced Binary Cuckoo Search With Frequent Values and Rough Set Theory for Feature Selection
IEEE Access, 2021 Redundant and irrelevant features in datasets decrease classification accuracy, and increase computational time of classification algorithms, overfitting problem and complexity of the underlying classification model.
Ahmed Alia, Adel Taweel
doaj +1 more source
Soil Respiration Dynamics and Environmental Controls Across Montane Forests of Nepal
Plant-Environment Interactions, Volume 7, Issue 3, June 2026.ABSTRACT Soil respiration (RS) represents a major process of release of carbon dioxide (CO2) from soil to atmospheric carbon pools. Measurements of soil respiration help to understand the dynamics of carbon in ecosystems. This study examines the soil respiration rate and the effect of environmental variables in different forests along elevation ...
Sanu Raja Maharjan +4 more
wiley +1 more source
PREDICTING FINANCIAL DISTRESS OF CHINESE LISTED COMPANIES USING ROUGH SET THEORY AND SUPPORT VECTOR MACHINE [PDF]
, 2011 Effectively predicting corporate financial distress is an important and challenging issue for companies. The research aims at predicting financial distress using the integrated model of rough set theory (RST) and support vector machine (SVM), in order ...
YU CAO, FUQIANG WANG, GUANGYU WAN
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Sentiment Analysis Techniques –Survey
Wasit Journal for Pure Sciences, 2023 Online social media platforms allow people to express their ideas and opinions about anything as products, education, or politics, this produce a huge data requires appropriate tools to analyze it accurately, and that’s why Sentiment Analysis (SA) has ...
Nobojh Mirzh, Zuhair Hussein Ali
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Extracting the Rules of KPIs for Equipment Management Based on Rough Set Theory [PDF]
, 2015 [[abstract]]This paper practically collects manufacturing supplier dataset in Taiwan. The dataset includes production records, and there are 18 attributes such as production scheduling, scheduled downtime, process, etc.
王佳文;Wang, Jia Wen;Cheng, Ching Hsue
core
Attribute Selection Based on Rough Set Theory for Electromagnetic Interference (EMI) Fault Diagnosis [PDF]
, 2014 [[abstract]]Electromagnetic emissions are radiated from every part of a personal computer motherboard, thus producing electromagnetic interference (EMI).
黃承龍 +1 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
doaj +1 more source
Journal of Cosmetic Dermatology, Volume 25, Issue 6, June 2026.ABSTRACT Background Infraorbital area significantly affects perceived age and patient quality of life. Although regenerative treatments such as platelet‐rich plasma (PRP) are widely used for under‐eye, evidence comparing PRP with platelet‐rich fibrin (PRF) is limited. This study aims to compare PRP to PRF for periorbital area.
Elham Behrangi +7 more
wiley +1 more source