Novel dynamic fuzzy Decision-Making framework for COVID-19 vaccine dose recipients

Albahri, O. S.; Zaidan, A. A.; Albahri, A. S.; Alsattar, Hassan A.; Mohammed, R. T.; Aickelin, Uwe; Kou, Gang; Jumaah, F. M.; Salih, Mahmood Maher; Alamoodi, A. H.; Alazab, Mamoun; Alnoor, Alhamzah; Al‐Obaidi, Jameel R.

doi:10.1016/j.jare.2021.08.009

Cited by 65 publications

(27 citation statements)

References 92 publications

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“…fuzzy weighted zero inconsistency. In [36], the authors extended FDOSM into Pythagorean fuzzy. Another article [37], the authors extended FDOSM into T-spherical fuzzy numbers.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: A new extension of fuzzy decision by opinion score method based on Fermatean fuzzy: A benchmarking COVID-19 machine learning methods

Salih

Al-qaysi

Shuwandy

et al. 2022

IFS

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To date, for the purpose of solving the complex problems in the area of expert system, Multi criteria decision making is the best technique to offer the suitable solution. In the academic literature, the MCDM methods suffered from many challenges. The most important challenges are uncertainty and vagueness. One of the latest MCDM method, called the fuzzy decision by opinion score method (FDOSM). However, there are still some vagueness issues around these methods (mention some of them). According to the advantage of the Fermatean fuzzy set in solving these issues, in this research extends FDOSM into Fermatean-FDOSM so as to effectively benchmark the real-life problem. In this study, we present our methodology in two phases. The first phase presents the mathematical model of Fermatean-FDOSM which is composed of three stages of FDOSM. The second phase applied the new extension to benchmark the COVID-19 machine learning methods. The finding of Fermatean-FDOSM after comparing the result with the basic FDSOM and TOPSIS, is more logical and undergoing a systematic ranking. In the validation process, objective validation is applied to validate the final result of Fermatean-FDOSM. The result of Fermatean-FDOSM is valid, and more logical and in line with decision makers’ opinions.

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“…fuzzy weighted zero inconsistency. In [36], the authors extended FDOSM into Pythagorean fuzzy. Another article [37], the authors extended FDOSM into T-spherical fuzzy numbers.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: A new extension of fuzzy decision by opinion score method based on Fermatean fuzzy: A benchmarking COVID-19 machine learning methods

Salih

Al-qaysi

Shuwandy

et al. 2022

IFS

Self Cite

View full text Add to dashboard Cite

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“…Althought this methodology shows similarities with our proposal, it is not focusing on investigating COVID vaccination strategies. Most of the research available on the literature, framed on MCGDM fuzzy methods and focused on investigating covid vaccination strategies as [ [23] , [24] , [25] , [26] , [27] , [28] ] shows shortcomings as limited managerial implications, reduced guidelines to policy makers or marginal novelty on the mathematical methods proposed. From this perspective, our proposal makes a original contribution on this direction.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Hezam et al [ 23 ] proposed a robus methodology for allocating COVID vaccines, but it shows limitations from the manegerial implications and practical perpectives. Due to space limitations, other works related to vaccination strategies and MCGDM fuzzy methods as [ [24] , [25] , [26] , [27] , [28] ] are not discussed. However from all literature availabe in the field, most of it showed the limitations that were previously mentioned.…”

Section: Introductionmentioning

confidence: 99%

An extended picture fuzzy multicriteria group decision analysis with different weights: A case study of COVID-19 vaccine allocation

Almulhim

Barahona²

2023

Socio-Economic Planning Sciences

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“…Additionally, in [35], the authors extended the FDOSM into a q-rung orthopair fuzzy method and integrated the FDOSM with another method (i.e., the fuzzy weighted zero inconsistency method). In [36], the authors extended the FDOSM into the Pythagorean fuzzy numbers. In another article [37], the authors extended the FDOSM into T-spherical fuzzy numbers.…”

Section: Related Workmentioning

confidence: 99%

A New Development of FDOSM Based on a 2-Tuple Fuzzy Environment: Evaluation and Benchmark of Network Protocols as a Case Study

et al. 2022

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Multicriteria decision-making (MCDM) is one of the most common methods used to select the best alternative from a set of available alternatives. Many methods in MCDM are presented in the academic literature, with the latest being the Fuzzy Decision by Opinion Score Method (FDOSM). The FDOSM can solve many challenges that are present in other MCDM methods. However, several problems still exist in the FDOSM and its extensions, such as uncertainty. One of the most significant problems in the use of the FDOSM is the loss of information during the conversion of a decision matrix into an opinion decision matrix. In this paper, the authors expanded the FDOSM into the 2-tuple-FDOSM to solve this problem. The methodology behind the development of the 2-tuple-FDOSM was presented. Within the methodology, definitions of the 2-tuple linguistic fuzzy method, which was used to solve the loss-of-information problem that is present in the FDSOM method, are presented. A network case study was used in the application of the 2-tuple-FDOSM. The final results show that the 2-tuple-FDOSM can be used to address the problem of loss of information. Finally, a comparison between the basic FDOSM, TOPSIS, and 2-tuple-FDOSM was presented.

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Novel dynamic fuzzy Decision-Making framework for COVID-19 vaccine dose recipients

Abstract: Graphical abstract

Cited by 65 publications

References 92 publications

RETRACTED: A new extension of fuzzy decision by opinion score method based on Fermatean fuzzy: A benchmarking COVID-19 machine learning methods

RETRACTED: A new extension of fuzzy decision by opinion score method based on Fermatean fuzzy: A benchmarking COVID-19 machine learning methods

An extended picture fuzzy multicriteria group decision analysis with different weights: A case study of COVID-19 vaccine allocation

A New Development of FDOSM Based on a 2-Tuple Fuzzy Environment: Evaluation and Benchmark of Network Protocols as a Case Study

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