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

IF 4.1 2区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computer Standards & Interfaces Pub Date : 2022-03-01 DOI:10.1016/j.csi.2021.103572

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

{"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","authors":"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","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":50635,"journal":{"name":"Computer Standards & Interfaces","volume":"80 ","pages":"Article 103572"},"PeriodicalIF":4.1000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.csi.2021.103572","citationCount":"46","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Standards & Interfaces","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0920548921000672","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}

引用次数: 46

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.

Abstract Image

查看原文本刊更多论文

q阶空气环境下模糊加权零不一致与模糊决策的意见评分法集成——以新冠肺炎疫苗剂量分布为例

由于毕达哥拉模糊集和直觉模糊集的局限性，科学家们开发了一种不同的连续模糊集，称为q-rung orthopair fuzzy set (q-ROFS)，它消除了决策者在多准则决策(MCDM)方法中遇到的限制，便于在现实环境中表示复杂的不确定信息。鉴于其优点和灵活性，本研究在q-ROFS的模糊环境下，对模糊加权零不一致性(FWZIC)法和模糊意见评分法(FDOSM)这两种常用的MCDM方法进行了扩展。分别将其扩展为q-rung矫形模糊加权零不一致法(q-ROFWZIC)和q-rung矫形模糊意见评分法(q-ROFDOSM)。所制订的方法分为两个阶段。第一个阶段“开发”彻底地展示了每种方法的顺序步骤。制定了q-ROFWZIC方法，用于确定评价标准的权重，然后将其整合到q-ROFDOSM中，在加权标准的基础上对备选方案进行优先排序。第二阶段以2019冠状病毒病(COVID-19)疫苗配送MCDM问题为例进行研究。目的是公平分配COVID-19疫苗剂量。采用了基于“受助者名单”和“COVID-19分配标准”交集的决策矩阵。通过系统排序评价和敏感性分析对所提出的方法进行评价，结果表明，不同情景下的排序结果具有高相关性，且各指标权重不同。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Computer Standards & Interfaces 工程技术-计算机：软件工程

CiteScore

11.90

自引率

16.00%

发文量

审稿时长

6 months

期刊介绍： The quality of software, well-defined interfaces (hardware and software), the process of digitalisation, and accepted standards in these fields are essential for building and exploiting complex computing, communication, multimedia and measuring systems. Standards can simplify the design and construction of individual hardware and software components and help to ensure satisfactory interworking. Computer Standards & Interfaces is an international journal dealing specifically with these topics. The journal • Provides information about activities and progress on the definition of computer standards, software quality, interfaces and methods, at national, European and international levels • Publishes critical comments on standards and standards activities • Disseminates user''s experiences and case studies in the application and exploitation of established or emerging standards, interfaces and methods • Offers a forum for discussion on actual projects, standards, interfaces and methods by recognised experts • Stimulates relevant research by providing a specialised refereed medium.