The applications of MCDM methods in COVID-19 pandemic: A state of the art review
A Sotoudeh-Anvari - Applied Soft Computing, 2022 - Elsevier
Likened to the economic calamity of World War Two, the COVID-19 pandemic has sparked
fears of a deep economic crisis, killed more than six million people worldwide and had a …
fears of a deep economic crisis, killed more than six million people worldwide and had a …
[HTML][HTML] A state-of-the-art survey of evaluation based on distance from average solution (EDAS): Developments and applications
Abstract Evaluation based on distance from average solution (EDAS), developed in 2015, is
one of the well-known and frequently utilized methods which is applied for different types of …
one of the well-known and frequently utilized methods which is applied for different types of …
Big data analytics challenges to implementing the intelligent Industrial Internet of Things (IIoT) systems in sustainable manufacturing operations
Q Qi, Z Xu, P Rani - Technological Forecasting and Social Change, 2023 - Elsevier
The overlap of the growth of big data with that of the Internet of Things (IoT) is well reflected
by the dramatic surge in the use of devices connected to IoT and the exponential rise in data …
by the dramatic surge in the use of devices connected to IoT and the exponential rise in data …
Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection
The optimal location of electric vehicle charging station (EVCS) will promote the rapid
development of the electric vehicle (EV) industry. Generally, EVCS location selection is …
development of the electric vehicle (EV) industry. Generally, EVCS location selection is …
A new logarithm methodology of additive weights (LMAW) for multi-criteria decision-making: Application in logistics
Logistics management has been playing a significant role in ensuring competitive growth of
industries and nations. This study proposes a new Multi-Criteria Decision-making (MCDM) …
industries and nations. This study proposes a new Multi-Criteria Decision-making (MCDM) …
The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?
After the first paper regarding the Best Worst Method (BWM) was published in Omega in
2015 (J. Rezaei, Best-worst multi-criteria decision-making method, Omega 53 (2015) 49 …
2015 (J. Rezaei, Best-worst multi-criteria decision-making method, Omega 53 (2015) 49 …
Evaluation of climate change-resilient transportation alternatives using fuzzy Hamacher aggregation operators based group decision-making model
Climate change has become one of the most significant threats that all countries face. The
extent of the effects of climate change will increase if the pace is not altered. Transportation …
extent of the effects of climate change will increase if the pace is not altered. Transportation …
A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making
A key factor to attain success in any discipline, especially in a field which requires handling
large amounts of information and knowledge, is decision making. Most real-world decision …
large amounts of information and knowledge, is decision making. Most real-world decision …
Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014
Sažetak Multiple criteria decision-making (MCDM) is considered as a complex decision
making (DM) tool involving both quantitative and qualitative factors. In recent years, several …
making (DM) tool involving both quantitative and qualitative factors. In recent years, several …
Evaluation of ecological governance in the Yellow River basin based on Uninorm combination weight and MULTIMOORA-Borda method
As a river of great strategic significance in China, the ecological governance of the Yellow
River is an important issue. As a multi-attribute decision-making (MADM) problem …
River is an important issue. As a multi-attribute decision-making (MADM) problem …