[HTML][HTML] An integrated machine learning and MARCOS method for supplier evaluation and selection

A Abdulla, G Baryannis, I Badi - Decision Analytics Journal, 2023 - Elsevier
Evaluating and selecting suitable suppliers involves several criteria, making it a complex
and difficult problem for decision-makers. Several approaches have been developed to help …

[HTML][HTML] Ensemble ranking: An aggregation of multiple multicriteria methods and scenarios and its application to power generation planning

MA Alves, BAS Oliveira, FG Guimarães - Decision Analytics Journal, 2024 - Elsevier
Evaluating maintenance plans for power generation is a critical task managed by the
National System Operator, as it is directly related to criteria such as operational cost …

Cluster analysis-based hydrological similarity assessment in small watersheds of Shandong Province's hilly areas

D Li, G Sang, W Liu, Y Liu, M Zhao - Hydrology Research, 2024 - iwaponline.com
The clustering of small watersheds based on hydrological similarity serves as an effective
technique for identifying similarities in watershed runoff generation and routing conditions. It …

Avalanche Risk Analysis by a Combined Geographic Information System and Bayesian Best-Worst Method

Z Konurhan, M Yücesan, M Gul - The International Workshop on Best …, 2023 - Springer
The formation of avalanches is related to the land structure, climatic conditions, and snow
cover. It is usually seen in mountainous and slo** terrains without vegetation. In Turkey …

Aprendizado das preferências do decisor usando aprendizado de máquina em problemas multicritério

MA Alves - 2023 - repositorio.ufmg.br
The Analytic Hierarchy Process (AHP) multicriteria method can be cognitively demanding for
large-scale decision problems due to the need for the decision-maker to make pairwise …