An extended MAIRCA method using intuitionistic fuzzy sets for coronavirus vaccine selection in the age of COVID-19

F Ecer - Neural Computing and Applications, 2022 - Springer
All over the world, the COVID-19 outbreak seriously affects life, whereas numerous people
have infected and passed away. To control the spread of it and to protect people …

[HTML][HTML] Novel dynamic fuzzy decision-making framework for COVID-19 vaccine dose recipients

OS Albahri, AA Zaidan, AS Albahri, HA Alsattar… - Journal of advanced …, 2022 - Elsevier
Introduction The vaccine distribution for the COVID-19 is a multicriteria decision-making
(MCDM) problem based on three issues, namely, identification of different distribution …

An integrated interval-valued intuitionistic fuzzy technique for resumption risk assessment amid COVID-19 prevention

Z Chen, S Wan, J Dong - Information Sciences, 2023 - Elsevier
Currently, China has achieved a remarkable achievement on the containment of COVID-19,
which creates a favorable condition for the gradual resumption of normal life. However …

ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound

Z Malki, ES Atlam, A Ewis, G Dagnew… - Neural Computing and …, 2021 - Springer
Globally, many research works are going on to study the infectious nature of COVID-19 and
every day we learn something new about it through the flooding of the huge data that are …

Vaccine selection for COVID-19 by AHP and novel VIKOR hybrid approach with interval type-2 fuzzy sets

B Meniz, EM Özkan - Engineering applications of artificial intelligence, 2023 - Elsevier
Decisions in the health industry have a significant impact on human lives. With the COVID-
19 pandemic, a global war is being waged. Vaccination is a critical component in this fight …

Multi-criteria decision making of COVID-19 vaccines (in India) based on ranking interpreter technique under single valued bipolar neutrosophic environment

T Garai, H Garg - Expert Systems with Applications, 2022 - Elsevier
COVID-19 is a respiratory infection caused by a coronavirus that spreads from person to
person. In the present situation, the COVID-19 pandemic is a swiftly rising phase. Now the …

Artificial intelligence‐based data‐driven strategy to accelerate research, development, and clinical trials of COVID vaccine

A Sharma, T Virmani, V Pathak… - BioMed research …, 2022 - Wiley Online Library
The global COVID‐19 (coronavirus disease 2019) pandemic, which was caused by the
severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), has resulted in a …

[HTML][HTML] Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients

MA Alsalem, HA Alsattar, AS Albahri… - Journal of infection and …, 2021 - Elsevier
The problem complexity of multi-criteria decision-making (MCDM) has been raised in the
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …

MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare …

F Ecer, D Pamucar - Applied Soft Computing, 2021 - Elsevier
Assessing and ranking private health insurance companies provides insurance agencies,
insurance customers, and authorities with a reliable instrument for the insurance decision …

Extension of VIKOR method in intuitionistic fuzzy environment for robot selection

K Devi - Expert Systems with Applications, 2011 - Elsevier
Decision making is the process of finding the best option among the feasible alternatives. In
classical multiple-criteria decision making methods, the ratings and the weights of the …