Fuzzy dynamic MCDM method based on PRSRV for financial risk evaluation of new energy vehicle industry
The financial risk evaluation of new energy vehicle (NEV) industry is conducive to the
popularization of NEVs, to encourage more investment into the NEV industry, and to …
popularization of NEVs, to encourage more investment into the NEV industry, and to …
A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain
The concept of supply chain management (SCM) has transformed and evolved beyond the
simple rationality of benefit and economic viewpoints. With changing societal requirements …
simple rationality of benefit and economic viewpoints. With changing societal requirements …
Evaluation of circular supply chains barriers in the era of Industry 4.0 transition using an extended decision-making approach
C Shang, P Saeidi, CF Goh - Journal of Enterprise Information …, 2022 - emerald.com
Purpose The poor leadership style is a key obstacle to the effective implementation of
Industry 4.0 technologies. To successfully apply the Industry 4.0 technologies, which can …
Industry 4.0 technologies. To successfully apply the Industry 4.0 technologies, which can …
Internet of things challenges of sustainable supply chain management in the manufacturing sector using an integrated q-Rung Orthopair Fuzzy-CRITIC-VIKOR method
K Yang, T Duan, J Feng, AR Mishra - Journal of Enterprise …, 2022 - emerald.com
Purpose The “Internet of Things (IoT)” is a platform for involving smart devices via the
Internet at a worldwide scale. It supports the “supply chain (SC)” and “information and …
Internet at a worldwide scale. It supports the “supply chain (SC)” and “information and …
Navigating sustainability: Unveiling the interconnected dynamics of ESG factors and SDGs in BRICS‐11
In this study, we investigate the impacts of ESG (environmental, social, and governance)
factors on sustainable development goals (SDGs) for BRICS‐11 countries. The AMG …
factors on sustainable development goals (SDGs) for BRICS‐11 countries. The AMG …
[HTML][HTML] A cluster-based stratified hybrid decision support model under uncertainty: sustainable healthcare landfill location selection
EB Tirkolaee, AE Torkayesh - Applied Intelligence, 2022 - Springer
Nowadays, healthcare waste management has become one of the significant
environmental, health, and social problems. Due to population and urbanization growth and …
environmental, health, and social problems. Due to population and urbanization growth and …
[HTML][HTML] Toward sustainable urban mobility by using fuzzy-FUCOM and fuzzy-CoCoSo methods: the case of the SUMP podgorica
Sustainable urban mobility plans (SUMPs) have become increasingly popular in cities with
environmental problems to reduce pollution, often caused by urban transportation …
environmental problems to reduce pollution, often caused by urban transportation …
[HTML][HTML] An integrated group fuzzy best-worst method and combined compromise solution with Bonferroni functions for supplier selection in reverse supply chains
Choosing the right supplier has a significant impact on the efficiency and productivity of a
supply chain (SC). Different supplier selection models and approaches have been …
supply chain (SC). Different supplier selection models and approaches have been …
An integrated simple weighted sum product method—WISP
Until now, many different multiple criteria decision-making methods have been proposed for
the facilitation of different business problems such as entrepreneurial. In this article, a new …
the facilitation of different business problems such as entrepreneurial. In this article, a new …
A novel interval-valued fuzzy soft decision-making method based on CoCoSo and CRITIC for intelligent healthcare management evaluation
X Peng, R Krishankumar, KS Ravichandran - Soft Computing, 2021 - Springer
The intelligent healthcare management is of great concern to mobilize the enthusiasm of
individuals and groups, and effectively use limited resources to achieve maximum health …
individuals and groups, and effectively use limited resources to achieve maximum health …