[HTML][HTML] Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review

MA Alsalem, AH Alamoodi, OS Albahri… - Artificial Intelligence …, 2022 - Springer
The influence of the ongoing COVID-19 pandemic that is being felt in all spheres of our lives
and has a remarkable effect on global health care delivery occurs amongst the ongoing …

Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature

MA Alsalem, R Mohammed, OS Albahri… - … Journal of Intelligent …, 2022 - Wiley Online Library
Considering the coronavirus disease 2019 (COVID‐19) pandemic, the government and
health sectors are incapable of making fast and reliable decisions, particularly given the …

Fermatean fuzzy Heronian mean operators and MEREC‐based additive ratio assessment method: An application to food waste treatment technology selection

P Rani, AR Mishra, A Saha, IM Hezam… - … Journal of Intelligent …, 2022 - Wiley Online Library
Uncertainty is often occurred in real‐life decision‐making problems due to the lack of
complete information, imprecise data, and the vagueness of decision making experts in …

Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection

P Rani, AR Mishra - Expert Systems with Applications, 2021 - Elsevier
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 …

[HTML][HTML] Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

AR Mishra, P Rani, K Pandey - Journal of ambient intelligence and …, 2022 - Springer
In today's world, the demand for sustainable third-party reverse logistics providers
(S3PRLPs) becomes an increasingly considerable issue for industries seeking improved …

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 …

Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection

M Kirişci, I Demir, N Şimşek - Artificial Intelligence in Medicine, 2022 - Elsevier
ELECTRE is a family of multi-criteria decision analysis techniques, which has the ability to
provide as much as possible precise and suitable set of actions or alternatives to the …

Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach

A Saha, D Pamucar, OF Gorcun, AR Mishra - Expert Systems with …, 2023 - Elsevier
The automotive industry is one of the most competitive sectors, and it requires a well-
structured logistics system to meet the industry'vital requirements such as just-in-time, lean …

Multicriteria decision making based on novel score function of Fermatean fuzzy numbers, the CRITIC method, and the GLDS method

AR Mishra, SM Chen, P Rani - Information Sciences, 2023 - Elsevier
In this paper, we propose a new score function of Fermatean fuzzy numbers (FFNs). The
proposed score function of FFNs can conquer the drawbacks of the existing score function of …

[HTML][HTML] Evaluation of agriculture-food 4.0 supply chain approaches using Fermatean probabilistic hesitant-fuzzy sets based decision making model

S Qahtan, HA Alsattar, AA Zaidan, M Deveci… - Applied Soft …, 2023 - Elsevier
The benchmarking of agri-food 4.0 supply chain (Agri4SC) falls under the multiple criteria
problem in supply chain visibility (SCV) and supply chain resource integration (SCRI) for …