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A weight-consistent model for fuzzy supplier selection and order allocation problem

Annals of operations research, 2020-10, Vol.293 (2), p.587-605

2020

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On qualitative multi-attribute group decision making and its consensus measure: A probability based perspective

Omega (Oxford), 2017-07, Vol.70, p.94-117

2017

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Integrated preference argumentation and applications in consumer behaviour analyses

International journal of approximate reasoning, 2023-08, Vol.159, p.108938, Article 108938

2023

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k-PbC: an improved cluster center initialization for categorical data clustering

Applied intelligence (Dordrecht, Netherlands), 2020-08, Vol.50 (8), p.2610-2632

2020

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Role of project management on Sustainable Supply Chain development through Industry 4.0 technologies and Circular Economy during the COVID-19 pandemic: A multiple case study of Thai metals industry

Operations management research, 2024-03, Vol.17 (1), p.13-37

2024

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A Hybrid Model of VMD-EMD-FFT, Similar Days Selection Method, Stepwise Regression, and Artificial Neural Network for Daily Electricity Peak Load Forecasting

Energies (Basel), 2023-02, Vol.16 (4), p.1860

2023

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An efficient approach for privacy preserving decentralized deep learning models based on secure multi-party computation

Neurocomputing (Amsterdam), 2021-01, Vol.422, p.245-262

2021

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Deep Generative Networks Coupled With Evidential Reasoning for Dynamic User Preferences Using Short Texts

IEEE transactions on knowledge and data engineering, 2023-07, Vol.35 (7), p.6811-6826

2023

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Evidential global linguistic terms entropy

Soft computing (Berlin, Germany), 2023, Vol.27 (1), p.227-237

2023

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Uncertainty Management in Machine Learning Applications

International journal of approximate reasoning, 2019-04, Vol.107, p.79-80

Huynh, Van-Nam

2019

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A proportional linguistic distribution based model for multiple attribute decision making under linguistic uncertainty

Annals of operations research, 2017-09, Vol.256 (2), p.305-328

2017

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3-Tuple Linguistic Distance-Based Model for a New Product go/no-go Evaluation

International journal of uncertainty, fuzziness, and knowledge-based systems, 2022-08, Vol.30 (4), p.681-707

2022

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Evaluating Innovation Capability in Banking Under Uncertainty

IEEE transactions on engineering management, 2024, Vol.71, p.855-872

2024

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An Improved Hybrid Approach for Daily Electricity Peak Demand Forecasting during Disrupted Situations: A Case Study of COVID-19 Impact in Thailand

Energies (Basel), 2024-01, Vol.17 (1), p.78

2024

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An uncertain target-oriented QFD approach to service design based on service standardization with an application to bank window service

IIE transactions, 2019-11, Vol.51 (11), p.1167-1189

2019

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An evaluation model for task complexity in production lines

International journal of productivity and performance management, 2023-11, Vol.72 (10), p.3162-3183

2023

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An efficient algorithm for mining periodic high-utility sequential patterns

Applied intelligence (Dordrecht, Netherlands), 2018-12, Vol.48 (12), p.4694-4714

2018

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Preface: recent advances in knowledge modelling and decision making with uncertainties

Annals of operations research, 2021-05, Vol.300 (2), p.313-317

2021

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Recent advances of uncertainty management in knowledge modelling and decision making

Annals of operations research, 2017-09, Vol.256 (2), p.199-202

Huynh, Van-Nam

2017

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Evidence-based data mining method to reveal similarities between materials based on physical mechanisms

Journal of applied physics, 2023-02, Vol.133 (5)

2023

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Rapid Production Rescheduling for Flow Shop Under Machine Failure Disturbance Using Hybrid Perturbation Population Genetic Algorithm-Artificial Neural Networks (PPGA-ANNs)

IEEE access, 2023, Vol.11, p.75794-75817

2023

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A Risk Analysis Based on a Two-stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Training attractive attribute classifiers based on opinion features extracted from review data

Electronic commerce research and applications, 2018-11, Vol.32, p.13-22

2018

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Mining top-k frequent patterns from uncertain databases

Applied intelligence (Dordrecht, Netherlands), 2020-05, Vol.50 (5), p.1487-1497

2020

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Multi-objective Optimization of Freight Route Choices in Multimodal Transportation

International journal of computational intelligence systems, 2021-01, Vol.14 (1), p.794

2021

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A weight-consistent model for fuzzy supplier selection and order allocation problem

On qualitative multi-attribute group decision making and its consensus measure: A probability based perspective

Integrated preference argumentation and applications in consumer behaviour analyses

k-PbC: an improved cluster center initialization for categorical data clustering

Role of project management on Sustainable Supply Chain development through Industry 4.0 technologies and Circular Economy during the COVID-19 pandemic: A multiple case study of Thai metals industry

A Hybrid Model of VMD-EMD-FFT, Similar Days Selection Method, Stepwise Regression, and Artificial Neural Network for Daily Electricity Peak Load Forecasting

An efficient approach for privacy preserving decentralized deep learning models based on secure multi-party computation

Deep Generative Networks Coupled With Evidential Reasoning for Dynamic User Preferences Using Short Texts

Evidential global linguistic terms entropy

Uncertainty Management in Machine Learning Applications

A proportional linguistic distribution based model for multiple attribute decision making under linguistic uncertainty

3-Tuple Linguistic Distance-Based Model for a New Product go/no-go Evaluation

Evaluating Innovation Capability in Banking Under Uncertainty

An Improved Hybrid Approach for Daily Electricity Peak Demand Forecasting during Disrupted Situations: A Case Study of COVID-19 Impact in Thailand

An uncertain target-oriented QFD approach to service design based on service standardization with an application to bank window service

An evaluation model for task complexity in production lines

An efficient algorithm for mining periodic high-utility sequential patterns

Preface: recent advances in knowledge modelling and decision making with uncertainties

Recent advances of uncertainty management in knowledge modelling and decision making

Evidence-based data mining method to reveal similarities between materials based on physical mechanisms

Rapid Production Rescheduling for Flow Shop Under Machine Failure Disturbance Using Hybrid Perturbation Population Genetic Algorithm-Artificial Neural Networks (PPGA-ANNs)

A Risk Analysis Based on a Two-stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems

Training attractive attribute classifiers based on opinion features extracted from review data

Mining top-k frequent patterns from uncertain databases

Multi-objective Optimization of Freight Route Choices in Multimodal Transportation

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