[HTML][HTML] A novel fuzzy multi-criteria decision-making for enhancing the management of medical waste generated during the coronavirus pandemic
AT Demir, S Moslem - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The coronavirus pandemic significantly increased the use of essential medical supplies,
resulting in a surge in medical waste generation. This surge has spurred extensive research …
resulting in a surge in medical waste generation. This surge has spurred extensive research …
A type-2 neutrosophic entropy-based group decision analytics model for sustainable aquaculture engineering
Fish cages are crucial for the establishment of sustainable fish farms. The selection of fish
cages is an essential subject to be examined for ensuring sustainability. This research …
cages is an essential subject to be examined for ensuring sustainability. This research …
A neutrosophic WENSLO-ARLON model for measuring sustainable brand equity performance
Sustainable brand equity denotes the perceived brand equity by consumers, influenced by
companies' non-financial and environmental practices. To cultivate sustainable brand …
companies' non-financial and environmental practices. To cultivate sustainable brand …
A spherical fuzzy-based DIBR II-AROMAN model for sustainability performance benchmarking of wind energy power plants
Wind energy power plants (WEPPs) are renewable energy generation facilities that are
increasingly used today. The performance evaluations of these energy plants are generally …
increasingly used today. The performance evaluations of these energy plants are generally …
A Picture Fuzzy CIMAS-ARTASI Model for Website Performance Analysis in Human Resource Management
The central emphasis of human resource management resides in the precise delineation of
job responsibilities, engaging in systematic inquiry to identify well-suited candidates, and …
job responsibilities, engaging in systematic inquiry to identify well-suited candidates, and …
[HTML][HTML] Evaluating the deep learning software tools for large-scale enterprises using a novel TODIFFA-MCDM framework
Deep learning (DL) is one of the most promising technological developments emerging in
the fourth industrial revolution era for businesses to improve processes, increase efficiency …
the fourth industrial revolution era for businesses to improve processes, increase efficiency …
[HTML][HTML] A hybrid spherical fuzzy logarithmic decomposition of criteria importance and alternative ranking technique based on Adaptive Standardized Intervals model …
GC Yalçın, K Kara, T Senapati - Decision Analytics Journal, 2024 - Elsevier
This study presents a hybrid fuzzy Multi-Attribute Group Decision Making (MAGDM) model
with application to commercial insurance selection. The proposed hybrid model uses …
with application to commercial insurance selection. The proposed hybrid model uses …
Assessing and selecting sustainable refrigerated road vehicles in food logistics using a novel multi-criteria group decision-making model
In recent years, food loss and waste (FLW) have become an essential issue at the top of the
international community's agenda. Since more people are afflicted by this problem every …
international community's agenda. Since more people are afflicted by this problem every …
[HTML][HTML] A novel multi-criteria approach for evaluating social discrimination in OECD countries
O Pala - Decision Analytics Journal, 2024 - Elsevier
Abstract The Organisation for Economic Co-operation and Development (OECD) was
established to unite countries from different geographical regions to achieve prosperity and …
established to unite countries from different geographical regions to achieve prosperity and …
[PDF][PDF] Decision Analytics Journal
GC Yalçın, K Kara, T Senapati - researchgate.net
This study presents a hybrid fuzzy Multi-Attribute Group Decision Making (MAGDM) model
with application to commercial insurance selection. The proposed hybrid model uses …
with application to commercial insurance selection. The proposed hybrid model uses …