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 …
Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods
Credit risk assessment is a crucial element in credit risk management. With the extensive
research on consumer credit risk assessment in recent decades, the abundance of literature …
research on consumer credit risk assessment in recent decades, the abundance of literature …
Prioritizing and overcoming biomass energy barriers: Application of AHP and G-TOPSIS approaches
India strives to utilize optimum biomass potential to overcome the prevailing energy crises.
However, a variety of barriers are hindering the development of the biomass industry. Some …
However, a variety of barriers are hindering the development of the biomass industry. Some …
Corporate governance and risk management: a bibliometric mapping for future research agenda
The global financial crisis of 2007–2008 highlighted the significance of sound corporate
governance mechanisms to tackle risks. Numerous extremities, insolvencies and the …
governance mechanisms to tackle risks. Numerous extremities, insolvencies and the …
Integrating data augmentation and hybrid feature selection for small sample credit risk assessment with high dimensionality
Data scarcity is a serious issue in credit risk assessment for some emerging financial
institutions. As a typical category of data scarcity, small sample with high dimensionality …
institutions. As a typical category of data scarcity, small sample with high dimensionality …
[HTML][HTML] Locating and deploying essential goods and equipment in disasters using AI-enabled approaches: A systematic literature review
S Farazmehr, Y Wu - Progress in Disaster Science, 2023 - Elsevier
Locating, routing and deploying essential goods and equipment are proactive disaster
management strategies which received attention during recent decades. Many artificial …
management strategies which received attention during recent decades. Many artificial …
Application of Interval-valued T-spherical Fuzzy Dombi Hamy Mean Operators in the antiviral mask selection against COVID-19
M Sarfraz - Journal of Decision Analytics and Intelligent Computing, 2024 - jdaic-journal.org
This study introduces Interval-valued T-Spherical Fuzzy Dombi Hamy Mean (IVT-SPFDHM)
Operators as a powerful tool for group decision-making. The IVT-SPFDHM operators allow …
Operators as a powerful tool for group decision-making. The IVT-SPFDHM operators allow …
Enhanced mass Jensen–Shannon divergence for information fusion
Conflict issue has been a topic of immense interest in evidence theory because the current
methods still do not accurately reflect the conflict degree between evidence bodies. Thus …
methods still do not accurately reflect the conflict degree between evidence bodies. Thus …
A multi-criteria group decision-making method for risk assessment of live-streaming E-commerce platform
J Su, D Wang, F Zhang, B Xu, Z Ouyang - Journal of Theoretical and …, 2023 - mdpi.com
Live-streaming e-commerce is the future development direction of the retail industry. When
retailers choose a live-streaming e-commerce platform, they face the test of various risks of …
retailers choose a live-streaming e-commerce platform, they face the test of various risks of …
Novel hybrid ensemble credit scoring model with stacking-based noise detection and weight assignment
J Yao, Z Wang, L Wang, M Liu, H Jiang… - Expert Systems with …, 2022 - Elsevier
Credit scoring is used to help financial institutions control default risks and reduce economic
losses, and a variety of mainstream machine learning and data mining algorithms have …
losses, and a variety of mainstream machine learning and data mining algorithms have …