An improved TOPSIS-based multi-criteria decision-making approach for evaluating the working condition of the aluminum reduction cell

Advanced Model-Based Estimation and Control of Alumina Concentration in an Aluminum Reduction Cell

(2022) Jing Shi et al.   JOM

A novel multiple temporal-spatial convolution network for anode current signals classification

(2022) Xiaoxue Wan et al.   International Journal of Machine Learning and Cybernetics

A novel self-supervised deep LSTM network for industrial temperature prediction in aluminum processes application

(2022) Yongxiang Lei et al.   NEUROCOMPUTING

A novel cause analysis approach of grey reasoning Petri net based on matrix operations

(2021) Li Li et al.   APPLIED INTELLIGENCE

Functional deep echo state network improved by a bi-level optimization approach for multivariate time series classification

(2021) Zhaoke Huang et al.   APPLIED SOFT COMPUTING

A novel hybrid analysis and modeling approach applied to aluminum electrolysis process

(2021) Erlend Torje Berg Lundby et al.   JOURNAL OF PROCESS CONTROL

Assessing and overcoming the renewable energy barriers for sustainable development in Pakistan: An integrated AHP and fuzzy TOPSIS approach

(2021) Yasir Ahmed Solangi et al.   RENEWABLE ENERGY

A Cell Condition-Sensitive Frequency Segmentation Method Based on the Sub-Band Instantaneous Energy Spectrum of Aluminum Electrolysis Cell Voltage

(2021) Zhaohui Zeng et al.   Engineering

Experiential knowledge representation and reasoning based on linguistic Petri nets with application to aluminum electrolysis cell condition identification

(2020) Weichao Yue et al.   INFORMATION SCIENCES

A hybrid approach based on MCDM methods and Monte Carlo simulation for sustainable evaluation of potential solar sites in east of Iran

(2020) Devika Kannan et al.   JOURNAL OF CLEANER PRODUCTION

A mechanism knowledge-driven method for identifying the pseudo dissolution hysteresis coefficient in the industrial aluminium electrolysis process

(2020) Zhaohui Zeng et al.   CONTROL ENGINEERING PRACTICE

Structure Dictionary Learning-Based Multimode Process Monitoring and its Application to Aluminum Electrolysis Process

(2020) Keke Huang et al.   IEEE Transactions on Automation Science and Engineering

A review of multi-criteria decision making applications for renewable energy site selection

(2020) Meng Shao et al.   RENEWABLE ENERGY

Evaluation of sustainable hydrogen production options using an advanced hybrid MCDM approach: A case study

(2020) Mohamed Abdel-Basset et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Approach based on TOPSIS and Monte Carlo simulation methods to evaluate lake eutrophication levels

(2020) Song-Shun Lin et al.   WATER RESEARCH

Dynamic evolutionary model based on a multi-sampling inherited HAPFNN for an aluminium electrolysis manufacturing system

(2020) Wei Ding et al.   APPLIED SOFT COMPUTING

Information synergy entropy based multi-feature information fusion for the operating condition identification in aluminium electrolysis

(2020) Zuguo Chen et al.   INFORMATION SCIENCES

Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis

(2019) Zhaoke Huang et al.   NEURAL COMPUTING & APPLICATIONS

Dynamic uncertain causality graph based on Intuitionistic fuzzy sets and its application to root cause analysis

(2019) Li Li et al.   APPLIED INTELLIGENCE

p-Arsanilic acid degradation and arsenic immobilization by a disilicate-assisted iron/aluminum electrolysis process

(2019) Minda Yu et al.   CHEMICAL ENGINEERING JOURNAL

A new approach to avoid rank reversal cases in the TOPSIS method

(2019) Renan Felinto de Farias Aires et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A review of multi-criteria decision making approaches for evaluating energy storage systems for grid applications

(2019) Manuel Baumann et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review

(2019) Hu-Chen Liu et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Nonlinear process monitoring using kernel dictionary learning with application to aluminum electrolysis process

(2019) Keke Huang et al.   CONTROL ENGINEERING PRACTICE

A semi-supervised Laplacian extreme learning machine and feature fusion with CNN for industrial superheat identification

(2019) Yongxiang Lei et al.   NEUROCOMPUTING

A Data and Knowledge Collaboration Strategy for Decision-Making on the Amount of Aluminum Fluoride Addition based on Augmented Fuzzy Cognitive Maps

(2019) Weichao Yue et al.   Engineering

A novel plithogenic TOPSIS- CRITIC model for sustainable supply chain risk management

(2019) Mohamed Abdel-Basset et al.   JOURNAL OF CLEANER PRODUCTION

Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process

(2018) Chunhua Yang et al.   NEUROCOMPUTING

Survey on fuzzy TOPSIS state-of-the-art between 2007 and 2017

(2018) Mahmood M. Salih et al.   COMPUTERS & OPERATIONS RESEARCH

Operating Parameters Optimization for the Aluminum Electrolysis Process Using an Improved Quantum-behaved Particle Swarm Algorithm

(2017) Jun Yi et al.   IEEE Transactions on Industrial Informatics

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis cell condition

(2017) Weichao Yue et al.   Frontiers of Chemical Science and Engineering

Sensitivity analysis of TOPSIS method in water quality assessment: I. Sensitivity to the parameter weights

(2012) Peiyue Li et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

A state-of the-art survey of TOPSIS applications

(2012) Majid Behzadian et al.   EXPERT SYSTEMS WITH APPLICATIONS

Aluminium process fault detection by Multiway Principal Component Analysis

(2011) Nazatul Aini Abd Majid et al.   CONTROL ENGINEERING PRACTICE