Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses

A. S. Albahri; O. S. Albahri; A. A. Zaidan; Alhamzah Alnoor; H. A. Alsattar; Rawia Mohammed; A. H. Alamoodi; B. B. Zaidan; Uwe Aickelin; Mamoun Alazab; Salem Garfan; Ibraheem Y.Y. Ahmaro; M. A. Ahmed

doi:10.1016/j.csi.2021.103572

Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses

A. S. Albahri, O. S. Albahri, A. A. Zaidan, Alhamzah Alnoor, H. A. Alsattar, Rawia Mohammed, A. H. Alamoodi, B. B. Zaidan, Uwe Aickelin, Mamoun Alazab, Salem Garfan, Ibraheem Y.Y. Ahmaro, M. A. Ahmed

Research output: Contribution to journal › Article › peer-review

59 Citations (Scopus)

Abstract

Owing to the limitations of Pythagorean fuzzy and intuitionistic fuzzy sets, scientists have developed a distinct and successive fuzzy set called the q-rung orthopair fuzzy set (q-ROFS), which eliminates restrictions encountered by decision-makers in multicriteria decision making (MCDM) methods and facilitates the representation of complex uncertain information in real-world circumstances. Given its advantages and flexibility, this study has extended two considerable MCDM methods the fuzzy-weighted zero-inconsistency (FWZIC) method and fuzzy decision by opinion score method (FDOSM) under the fuzzy environment of q-ROFS. The extensions were called q-rung orthopair fuzzy-weighted zero-inconsistency (q-ROFWZIC) method and q-rung orthopair fuzzy decision by opinion score method (q-ROFDOSM). The methodology formulated had two phases. The first phase ‘development’ presented the sequential steps of each method thoroughly.The q-ROFWZIC method was formulated and used in determining the weights of evaluation criteria and then integrated into the q-ROFDOSM for the prioritisation of alternatives on the basis of the weighted criteria. In the second phase, a case study regarding the MCDM problem of coronavirus disease 2019 (COVID-19) vaccine distribution was performed. The purpose was to provide fair allocation of COVID-19 vaccine doses. A decision matrix based on an intersection of ‘recipients list’ and ‘COVID-19 distribution criteria’ was adopted. The proposed methods were evaluated according to systematic ranking assessment and sensitivity analysis, which revealed that the ranking was subject to a systematic ranking that is supported by high correlation results over different scenarios with variations in the weights of criteria.

Original language	English
Article number	103572
Pages (from-to)	1-46
Number of pages	46
Journal	Computer Standards and Interfaces
Volume	80
DOIs	https://doi.org/10.1016/j.csi.2021.103572
Publication status	Published - Mar 2022

Bibliographical note

Funding Information:
The authors are grateful to the Universiti Pendidikan Sultan Idris, Malaysia for funding this study under Grant No. 2020-0296-109-11 .

Publisher Copyright:
© 2021

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

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10.1016/j.csi.2021.103572

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Albahri, A. S., Albahri, O. S., Zaidan, A. A., Alnoor, A., Alsattar, H. A., Mohammed, R., Alamoodi, A. H., Zaidan, B. B., Aickelin, U., Alazab, M., Garfan, S., Ahmaro, I. Y. Y., & Ahmed, M. A. (2022). Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses. Computer Standards and Interfaces, 80, 1-46. Article 103572. https://doi.org/10.1016/j.csi.2021.103572

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title = "Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses",

abstract = "Owing to the limitations of Pythagorean fuzzy and intuitionistic fuzzy sets, scientists have developed a distinct and successive fuzzy set called the q-rung orthopair fuzzy set (q-ROFS), which eliminates restrictions encountered by decision-makers in multicriteria decision making (MCDM) methods and facilitates the representation of complex uncertain information in real-world circumstances. Given its advantages and flexibility, this study has extended two considerable MCDM methods the fuzzy-weighted zero-inconsistency (FWZIC) method and fuzzy decision by opinion score method (FDOSM) under the fuzzy environment of q-ROFS. The extensions were called q-rung orthopair fuzzy-weighted zero-inconsistency (q-ROFWZIC) method and q-rung orthopair fuzzy decision by opinion score method (q-ROFDOSM). The methodology formulated had two phases. The first phase {\textquoteleft}development{\textquoteright} presented the sequential steps of each method thoroughly.The q-ROFWZIC method was formulated and used in determining the weights of evaluation criteria and then integrated into the q-ROFDOSM for the prioritisation of alternatives on the basis of the weighted criteria. In the second phase, a case study regarding the MCDM problem of coronavirus disease 2019 (COVID-19) vaccine distribution was performed. The purpose was to provide fair allocation of COVID-19 vaccine doses. A decision matrix based on an intersection of {\textquoteleft}recipients list{\textquoteright} and {\textquoteleft}COVID-19 distribution criteria{\textquoteright} was adopted. The proposed methods were evaluated according to systematic ranking assessment and sensitivity analysis, which revealed that the ranking was subject to a systematic ranking that is supported by high correlation results over different scenarios with variations in the weights of criteria.",

keywords = "COVID-19, FDOSM, FWZIC, Multicriteria decision-making, q-Rung orthopair fuzzy, Vaccine",

author = "Albahri, {A. S.} and Albahri, {O. S.} and Zaidan, {A. A.} and Alhamzah Alnoor and Alsattar, {H. A.} and Rawia Mohammed and Alamoodi, {A. H.} and Zaidan, {B. B.} and Uwe Aickelin and Mamoun Alazab and Salem Garfan and Ahmaro, {Ibraheem Y.Y.} and Ahmed, {M. A.}",

note = "Funding Information: The authors are grateful to the Universiti Pendidikan Sultan Idris, Malaysia for funding this study under Grant No. 2020-0296-109-11 . Publisher Copyright: {\textcopyright} 2021 Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",

year = "2022",

month = mar,

doi = "10.1016/j.csi.2021.103572",

language = "English",

volume = "80",

pages = "1--46",

journal = "Computer Standards and Interfaces",

issn = "0920-5489",

publisher = "Elsevier",

}

Albahri, AS, Albahri, OS, Zaidan, AA, Alnoor, A, Alsattar, HA, Mohammed, R, Alamoodi, AH, Zaidan, BB, Aickelin, U, Alazab, M, Garfan, S, Ahmaro, IYY & Ahmed, MA 2022, 'Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses', Computer Standards and Interfaces, vol. 80, 103572, pp. 1-46. https://doi.org/10.1016/j.csi.2021.103572

Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses. / Albahri, A. S.; Albahri, O. S.; Zaidan, A. A. et al.
In: Computer Standards and Interfaces, Vol. 80, 103572, 03.2022, p. 1-46.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment

T2 - A distribution case study of COVID-19 vaccine doses

AU - Albahri, A. S.

AU - Albahri, O. S.

AU - Zaidan, A. A.

AU - Alnoor, Alhamzah

AU - Alsattar, H. A.

AU - Mohammed, Rawia

AU - Alamoodi, A. H.

AU - Zaidan, B. B.

AU - Aickelin, Uwe

AU - Alazab, Mamoun

AU - Garfan, Salem

AU - Ahmaro, Ibraheem Y.Y.

AU - Ahmed, M. A.

N1 - Funding Information: The authors are grateful to the Universiti Pendidikan Sultan Idris, Malaysia for funding this study under Grant No. 2020-0296-109-11 . Publisher Copyright: © 2021 Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2022/3

Y1 - 2022/3

N2 - Owing to the limitations of Pythagorean fuzzy and intuitionistic fuzzy sets, scientists have developed a distinct and successive fuzzy set called the q-rung orthopair fuzzy set (q-ROFS), which eliminates restrictions encountered by decision-makers in multicriteria decision making (MCDM) methods and facilitates the representation of complex uncertain information in real-world circumstances. Given its advantages and flexibility, this study has extended two considerable MCDM methods the fuzzy-weighted zero-inconsistency (FWZIC) method and fuzzy decision by opinion score method (FDOSM) under the fuzzy environment of q-ROFS. The extensions were called q-rung orthopair fuzzy-weighted zero-inconsistency (q-ROFWZIC) method and q-rung orthopair fuzzy decision by opinion score method (q-ROFDOSM). The methodology formulated had two phases. The first phase ‘development’ presented the sequential steps of each method thoroughly.The q-ROFWZIC method was formulated and used in determining the weights of evaluation criteria and then integrated into the q-ROFDOSM for the prioritisation of alternatives on the basis of the weighted criteria. In the second phase, a case study regarding the MCDM problem of coronavirus disease 2019 (COVID-19) vaccine distribution was performed. The purpose was to provide fair allocation of COVID-19 vaccine doses. A decision matrix based on an intersection of ‘recipients list’ and ‘COVID-19 distribution criteria’ was adopted. The proposed methods were evaluated according to systematic ranking assessment and sensitivity analysis, which revealed that the ranking was subject to a systematic ranking that is supported by high correlation results over different scenarios with variations in the weights of criteria.

AB - Owing to the limitations of Pythagorean fuzzy and intuitionistic fuzzy sets, scientists have developed a distinct and successive fuzzy set called the q-rung orthopair fuzzy set (q-ROFS), which eliminates restrictions encountered by decision-makers in multicriteria decision making (MCDM) methods and facilitates the representation of complex uncertain information in real-world circumstances. Given its advantages and flexibility, this study has extended two considerable MCDM methods the fuzzy-weighted zero-inconsistency (FWZIC) method and fuzzy decision by opinion score method (FDOSM) under the fuzzy environment of q-ROFS. The extensions were called q-rung orthopair fuzzy-weighted zero-inconsistency (q-ROFWZIC) method and q-rung orthopair fuzzy decision by opinion score method (q-ROFDOSM). The methodology formulated had two phases. The first phase ‘development’ presented the sequential steps of each method thoroughly.The q-ROFWZIC method was formulated and used in determining the weights of evaluation criteria and then integrated into the q-ROFDOSM for the prioritisation of alternatives on the basis of the weighted criteria. In the second phase, a case study regarding the MCDM problem of coronavirus disease 2019 (COVID-19) vaccine distribution was performed. The purpose was to provide fair allocation of COVID-19 vaccine doses. A decision matrix based on an intersection of ‘recipients list’ and ‘COVID-19 distribution criteria’ was adopted. The proposed methods were evaluated according to systematic ranking assessment and sensitivity analysis, which revealed that the ranking was subject to a systematic ranking that is supported by high correlation results over different scenarios with variations in the weights of criteria.

KW - COVID-19

KW - FDOSM

KW - FWZIC

KW - Multicriteria decision-making

KW - q-Rung orthopair fuzzy

KW - Vaccine

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U2 - 10.1016/j.csi.2021.103572

DO - 10.1016/j.csi.2021.103572

M3 - Article

C2 - 34456503

AN - SCOPUS:85114991899

SN - 0920-5489

VL - 80

SP - 1

EP - 46

JO - Computer Standards and Interfaces

JF - Computer Standards and Interfaces

M1 - 103572

ER -

Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses

Abstract

Bibliographical note

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