An emerging question for photovoltaic (PV) solar power development is how to ascertain the optimal choice from a finite set of available alternatives under numerous conflicting criteria …
E Malmgren, S Brynolf, L Styhre… - Energy Research & Social …, 2023 - Elsevier
The maritime transport sector is often considered hard to abate in the context of greenhouse gas emissions, and the adoption of low-emission marine fuels is slow. Low-emission marine …
Global warming is a prevalent issue across the world. In supply chains, warehouses contribute significantly to the increase in greenhouse gas emissions. Achieving carbon …
AB Cuevas, DE Leiva-Candia, MP Dorado - Energies, 2024 - mdpi.com
The aim of this review is to understand the progress in waste material management through pyrolysis to produce eco-energy. The growing demand for energy, combined with the …
Due to the environmental policy adopted by the European Union (EU), EU countries are obliged to reduce greenhouse gas emissions. They reduce emissions largely through the …
The PROMETHEE II method is a classical multiple criteria decision making method. However, it also exists the rank reversal which is a highly important problem for analyzing …
W Wang, Y Wang, Y Chen, M Deveci, S Kadry… - Journal of Industrial …, 2024 - Elsevier
The resilient food supply chain (RFSC) has been identified as an effective model for mitigating food supply chain (FSC) risks. However, there exist many barriers impacting the …
Abstract Machine learning models are considered to be high-potential tools for predicting problems involving multiple attributes operating on historical data. Predictive models find …
Z Jinghua, R Haiying - Computers & Industrial Engineering, 2023 - Elsevier
The issues arising from the evolution of big data and network environment have rendered the relationship among experts to no longer be an independent multi-attribute group …