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

Alsalem, M. A.; Alsattar, Hassan A.; Albahri, A. S.; Mohammed, R. T.; Albahri, O. S.; Zaidan, A. A.; Alnoor, Alhamzah; Alamoodi, A. H.; Qahtan, Sarah; Zaidan, B. B.; Aickelin, Uwe; Alazab, Mamoun; Jumaah, F. M.

doi:10.1016/j.jiph.2021.08.026

Cited by 64 publications

(34 citation statements)

References 83 publications

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“…In [36], the authors extended FDOSM into Pythagorean fuzzy. Another article [37], the authors extended FDOSM into T-spherical fuzzy numbers. The authors in [30] extended FDOSM into interval type-2 trapezoidal fuzzy.…”

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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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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show abstract

“…As far as the coronavirus disease is concerned, the complexity involved was the Multi-Criteria Decision Making that in turn necessitated solid and robust means for data analysis. In [6], a data analysis model employing T Spherical Fuzzy sets (T-SFSs) for handling uncertainty in the data and obtaining information was proposed. The methodology was designed based on the decision matrix adoption and development phases.…”

Section: Neutrosophicmentioning

confidence: 99%

Blinder Oaxaca and Wilk Neutrosophic Fuzzy Set-based IoT Sensor Communication for Remote Healthcare Analysis

Khalaf

Natarajan

Mahadev³

et al. 2024

IEEE Access

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In the remote healthcare industry data analytics denotes the computerization of collection, processing, and exploring complicated data to acquire finer perceptions and validate healthcare practitioners to produce familiar decisions. Healthcare basics in the modern age are vital challenges specifically in developing countries owing to the shortfall of difficult hospitals and medical professionals. As fuzzy systems have reformed several areas of work, health has also made the most of it. In this paper, the purpose of the study is to introduce a novel and intelligent remote healthcare system based on modern technologies like the Internet of things (IoT) and Neutrosophic fuzzy systems to ensure precise data analysis with lesser time and energy consumption. In this study, a novel method called, Blinder Oaxaca-based Shapiro Wilk Neutrosophic Fuzzy (BO-SWNF) data analytics for remote healthcare is designed. Data collection is performed with the WESAD dataset. Duplicated data are eliminated by Blinder Oaxaca Linear Regressionbased Preprocessing model. With the application of the Blinder Oaxaca function, energy efficiency is enhanced. Finally, the Shapiro Wilk Neutrosophic Fuzzy algorithm is applied for ensuring robust data analysis. The experimental results of the proposed BO-SWNF envisage the data for finer comprehension of attribute distribution. The result is conducted by using PYHTON application to analyze stress detection with the WESAD dataset. The proposed BO-SWNF method achieved an overall accurate data analysis of 12% with minimum time ensuring 56%improvement and minimizing energy consumption by 54%.

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

Cited by 64 publications

References 83 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

Blinder Oaxaca and Wilk Neutrosophic Fuzzy Set-based IoT Sensor Communication for Remote Healthcare Analysis

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

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