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All Journal JOIV : International Journal on Informatics Visualization International Journal of Renewable Energy Development
Le, Thanh Tam
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Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering

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Using IT2FS, DEMATEL, and TOPSIS to Build Sustainable Solutions for Vietnamese Coffee Nguyen, Hoang Phuong; Bui, Thuy Chi; Nguyen, Mai Hoang Dieu; Trang Bui, Dang Thien; Nguyen, Thi Quynh Nhu; Nguyen, Hoang Truc Khanh; Le, Thanh Tam; Nguyen, Thi Lieu; Bui, Viet Duc
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.4358

Abstract

Ensuring the sustainability of coffee supply chains in emerging economies is a growing concern due to complex systemic barriers and limited strategic direction. The Vietnamese coffee industry is ranked second in global coffee exports and plays a vital role in Vietnam's economy. The Vietnamese coffee supply chain encompasses a vast network of smallholder farmers, local processors, and exporters, presenting challenges related to sustainability, price volatility, and quality control. This study proposes the use of Interval Type-2 Fuzzy Sets (IT2FS), Decision-Making Trial and Evaluation Laboratory (DEMATEL), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to analyze and rank the barriers and strategic interventions in Vietnam's coffee sector. Using IT2FS-DEMATEL, we looked at the driving and dependent relationships between six main barriers and six solutions that focus on sustainability. The results showed that the DEMATEL-based structural analysis revealed that Unstable Market and Trade Conditions had the most substantial driving influence. At the same time, the Lack of Best Cultivation Quality Standards was the most dependent factor. The TOPSIS analysis ranked Establishing National Coffee Cultivation Standards as the top solution, which was remarkably close to the optimal solution vector. These results provide a thorough, evidence-based plan for determining the initial actions to take in stabilizing Vietnam's coffee supply chain during times of volatility. It gives policymakers and industry stakeholders a clear framework for developing targeted actions to enhance the sustainability and resilience of coffee supply chains.
Orchestrating green ports: An integrated BWM–Fuzzy DEMATEL–ANP–TOPSIS framework for techno-economic prioritization Do, Hoang Dat; Le, Do Duc Anh; Le, Thi Thai; Nguyen, Thi Kim Tin; Le, Thanh Tam; Truong, Thi Hoang Oanh
International Journal of Renewable Energy Development Vol 15, No 1 (2026): January 2026
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2026.61886

Abstract

This study introduces a comprehensive multi-criteria decision-making framework that integrates the Best–Worst Method (BWM), fuzzy DEMATEL, the Analytic Network Process (ANP), and TOPSIS to prioritize green port electrification and operational enhancements. The model reflects complex trade-offs that shape decarbonization plans by asking experts about 20 important techno-economic, environmental, and organizational factors. The most important results show that emission abatement, fuel savings, and pollution reduction had the highest BWM weights. This shows that environmental goals are the most important. Fuzzy DEMATEL research showed that lifecycle replacement risk and labor preparedness were the main factors that affected tariff exposure, operational dependability, and digital integration results. ANP adjusted the weights of the criteria to take into consideration interdependencies, making economic risk and human capital the most important factors in decision-making. The TOPSIS rating found that a hybrid phased deployment option was the best choice for meeting goals for cost, emissions reduction, and operational readiness. It did better than both electric and traditional methods. These results show that the framework may combine expert knowledge, causal structure, and network feedback to make green port techniques more important. The concept goes beyond linear weighing by using cause-and-effect maps and feedback loops. This gives decision-makers a better understanding and more confidence when it comes to allocating resources. The results encourage a balanced growth of capital investments, environmental protection, and the ability of the workforce. This flexible strategy is helpful in  gradually combining the renewables, tariff dynamics, and operational data to create strong, low-carbon marine logistics centers.
Co-Authors Bui, Thuy Chi Bui, Viet Duc Do, Hoang Dat Le, Do Duc Anh Le, Thi Thai Nguyen, Hoang Phuong Nguyen, Hoang Truc Khanh Nguyen, Mai Hoang Dieu Nguyen, Thi Kim Tin Nguyen, Thi Lieu Nguyen, Thi Quynh Nhu Trang Bui, Dang Thien Truong, Thi Hoang Oanh