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Review of map** analysis and complementarity between solar and wind energy sources
R Pedruzzi, AR Silva, TS dos Santos, AC Araujo… - Energy, 2023 - Elsevier
This review aims to identify the available methodologies, data, and techniques for map**
the potential of solar and wind energy and its complementarity and to provide significant …
the potential of solar and wind energy and its complementarity and to provide significant …
Offshore wind power plant site selection using Analytical Hierarchy Process for Northwest Turkey
This study presents a quantitative methodology for offshore wind power plant site selection
in Northwest Turkey using Geographical Information Systems (GIS) and Analytical Hierarchy …
in Northwest Turkey using Geographical Information Systems (GIS) and Analytical Hierarchy …
Digital transition from industry 4.0 to industry 5.0 in smart manufacturing: A framework for sustainable future
Abstract Digital transition to Industry 5.0 (I5. 0) has finally arrived after Industry 4.0 (I4. 0) was
offered ten years ago to help address industry flaws in manufacturing. I5. 0 is necessary in …
offered ten years ago to help address industry flaws in manufacturing. I5. 0 is necessary in …
Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model
The long-term sustainability of the railway transportation system is determined by a set of
criteria that must be considered. For this reason, multi-criteria decision-making (MCDM) …
criteria that must be considered. For this reason, multi-criteria decision-making (MCDM) …
[HTML][HTML] An outranking approach with 2-tuple linguistic Fermatean fuzzy sets for multi-attribute group decision-making
The 2-tuple linguistic Fermatean fuzzy set is an effective tool that combines the advantages
of the reliable 2-tuple linguistic model with Fermatean fuzzy set. We aim to develop novel …
of the reliable 2-tuple linguistic model with Fermatean fuzzy set. We aim to develop novel …
MARCOS approach based upon cubic Fermatean fuzzy set and its application in evaluation and selecting cold chain logistics distribution center
Y Rong, L Yu, W Niu, Y Liu, T Senapati… - … Applications of Artificial …, 2022 - Elsevier
The evaluation and selection of cold chain logistics distribution center (CCLDC) possesses
important strategic significance for enterprises to optimize logistics network. This paper firstly …
important strategic significance for enterprises to optimize logistics network. This paper firstly …
Sustainable material selection with crisp and ambiguous data using single-valued neutrosophic-MEREC-MARCOS framework
Many industries around the globe are opting for environment-friendly and intelligent
solutions. In this regard, the materials and manufacturing sectors have also evolved beyond …
solutions. In this regard, the materials and manufacturing sectors have also evolved beyond …
A novel hybrid model based on Empirical Mode Decomposition and Echo State Network for wind power forecasting
Accurate wind power forecasting is essential for (i) the management of wind energy,(ii)
increasing the integration of generated power into the electrical grid, and (iii) enhancing …
increasing the integration of generated power into the electrical grid, and (iii) enhancing …
Integrated outranking techniques based on spherical fuzzy information for the digitalization of transportation system
The digitalization of the traditional technologies have facilitated humans globally as these
technologies are not only time saving, modern, environment friendly but are economic as …
technologies are not only time saving, modern, environment friendly but are economic as …
Route selection in multimodal supply chains: A fuzzy risk assessment model-BWM-MARCOS framework
Selecting a route in distribution networks can be considered as a multiple criteria decision-
making problem owing to the involvement of conflicting decision criteria, many possible …
making problem owing to the involvement of conflicting decision criteria, many possible …