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 …

Offshore wind power plant site selection using Analytical Hierarchy Process for Northwest Turkey

E Caceoğlu, HK Yildiz, E Oğuz, N Huvaj, JM Guerrero - Ocean engineering, 2022 - Elsevier
This study presents a quantitative methodology for offshore wind power plant site selection
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

BD Sarkar, V Shardeo, A Dwivedi, D Pamucar - Technology in Society, 2024 - Elsevier
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 …

Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model

MB Bouraima, Y Qiu, Ž Stević, V Simić - Socio-economic planning sciences, 2023 - Elsevier
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) …

[HTML][HTML] An outranking approach with 2-tuple linguistic Fermatean fuzzy sets for multi-attribute group decision-making

M Akram, R Bibi, M Deveci - Engineering applications of artificial …, 2023 - Elsevier
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 …

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 …

Sustainable material selection with crisp and ambiguous data using single-valued neutrosophic-MEREC-MARCOS framework

RSU Haq, M Saeed, N Mateen, F Siddiqui… - Applied Soft …, 2022 - Elsevier
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 …

A novel hybrid model based on Empirical Mode Decomposition and Echo State Network for wind power forecasting

U Yuzgec, E Dokur, M Balci - Energy, 2024 - Elsevier
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 …

Integrated outranking techniques based on spherical fuzzy information for the digitalization of transportation system

M Akram, K Zahid, C Kahraman - Applied Soft Computing, 2023 - Elsevier
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 …

Route selection in multimodal supply chains: A fuzzy risk assessment model-BWM-MARCOS framework

N Koohathongsumrit, W Chankham - Applied Soft Computing, 2023 - Elsevier
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 …