Meta-analysis of student performance assessment using fuzzy logic

N Amelia, AG Abdullah, Y Mulyadi - Indonesian Journal of Science …, 2019 - ejournal.kjpupi.id
The assessment system generally requires transparency and objectivity to assess student
performance in terms of abstraction. Fuzzy logic method has been used as one of the best …

Towards a comprehensive student satisfaction model

M Haverila, K Haverila, C McLaughlin… - The International Journal of …, 2021 - Elsevier
The current study was conducted to integrate the various findings of extant research into a
single, comprehensive model of student satisfaction that incorporates both educational and …

Novel adaptive gravitational search algorithm for fuzzy controlled servo systems

RE Precup, RC David, EM Petriu… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
This paper presents a novel adaptive Gravitational Search Algorithm (GSA) for the optimal
tuning of fuzzy controlled servo systems characterized by second-order models with an …

Stability analysis and design of a class of MIMO fuzzy control systems

RE Precup, ML Tomescu, S Preitl… - Journal of Intelligent …, 2013 - content.iospress.com
This paper presents a new stability analysis method dedicated to a class of fuzzy control
systems (FCSs) controlling multi input-multi output (MIMO) nonlinear processes by means of …

Data-driven reference trajectory tracking algorithm and experimental validation

MB Rădac, RE Precup, EM Petriu… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
This paper proposes a data-driven algorithm that solves a reference trajectory tracking
problem defined as an optimization problem. The new data-driven reference trajectory …

Improving peer assessment validity and reliability through a fuzzy coherence measure

M El Alaoui - IEEE Transactions on Learning Technologies, 2023 - ieeexplore.ieee.org
Classical evaluation methods, assessments, exams, and so forth accentuate the perception
of one against all, professor versus learners. Including students in the assessment process …

Adaptive hybrid particle swarm optimization-gravitational search algorithm for fuzzy controller tuning

RE Precup, RC David, AI Stinean… - … on Innovations in …, 2014 - ieeexplore.ieee.org
This paper introduces an innovative adaptive hybrid Particle Swarm Optimization (PSO)-
Gravitational Search Algorithm (GSA) dedicated to the optimal tuning of Takagi-Sugeno …

Uncertain measurement for student performance evaluation based on selection of boosted fuzzy rules

SM Darwish - IET Science, Measurement & Technology, 2017 - Wiley Online Library
Evaluation of student performance is one of the essential parts of educational systems that
incorporated with uncertainty in human knowledge. Rating and predicting students' …

Fuzzy based prequalification methods for EoSHDSL technology

F Lilik, J Botzheim - Acta Technica Jaurinensis, 2011 - acta.sze.hu
The aim of the study was to create a prequalification system which can prognosticate the
available maximal data transmission speed on a copper wire pair over EoSHDSL without …

PSO and GSA algorithms for fuzzy controller tuning with reduced process small time constant sensitivity

RC David, RE Precup, EM Petriu… - … on System Theory …, 2012 - ieeexplore.ieee.org
This paper discusses implementation aspects related to a Particle Swarm Optimization
(PSO) algorithm, a Gravitational Search Algorithm (GSA) and a hybrid PSO-GSA. These …