An Integrated Group Decision-making Method for Hypertension Risk Management Under Interval-valued q-rung Othopair Fuzzy

An Integrated Group Decision-making Method for Hypertension Risk Management Under Interval-valued q-rung Othopair Fuzzy | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article An Integrated Group Decision-making Method for Hypertension Risk Management Under Interval-valued q-rung Othopair Fuzzy Benting Wan, Shufen Zhou, Hua Liang, Xuan Huang, YouYu Cheng This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1364390/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper develops a new group decision-making (GDM) method for multi-attribute group decision-making (MAGDM) problems with unknown weights, which integrates Yager operator, CRITIC and WASPAS decision methods under interval-valued q-rung orthopair fuzzy sets (IVq-ROFS). The main contributions of this paper are concluded as below: (1) We first extend the distance measurement to interval-valued q-rung fuzzy numbers (IVq-ROFNs), and proves its properties. And we develop a new score function which is used to measure IVq-ROFNs, and the new score function overcomes the deficiencies of the existing score function. (2) We extend Yager weighted average operator (IVq-ROFYWA) and Yager weighted geometric average operator (IVq-ROFYWG) under IVq-ROFS, and we discuss the properties of IVq-ROFYWA and IVq-ROFYWG operators. (3) We propose a new method to derive expert weights of different alternatives, which can avoid the deficiency of overall decision-making perspective. And we extend deriving attribute weights method based on CRITIC under IVq-ROFS. (4) A new integrated MAGDM method is proposed. The MAGDM method integrates Yager operator, score function, distance measurement, expert weights deriving method, CRITIC method, and WASPAS method. (5) Finally, the group decision-making algorithm is used for hypertension risk management. The results are consistent with experts’ opinions. And comparing and analyzing results show that the proposed MAGDM method is effective and feasible. Interval-valued q-rung orthopair fuzzy sets Yager operator decision-making method Full Text Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-1364390","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":87567005,"identity":"01203feb-3777-41e6-8e74-861c839497be","order_by":0,"name":"Benting Wan","email":"","orcid":"","institution":"Jiangxi University of Finance and Economics","correspondingAuthor":false,"prefix":"","firstName":"Benting","middleName":"","lastName":"Wan","suffix":""},{"id":87567006,"identity":"fae78823-3979-488a-8d53-e7b47112ce11","order_by":1,"name":"Shufen Zhou","email":"","orcid":"","institution":"Jiangxi University of Finance and Economics","correspondingAuthor":false,"prefix":"","firstName":"Shufen","middleName":"","lastName":"Zhou","suffix":""},{"id":87567007,"identity":"fe1dd865-a91a-4983-aa92-2ebcb5b1a7c6","order_by":2,"name":"Hua Liang","email":"","orcid":"","institution":"Nanchang Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Hua","middleName":"","lastName":"Liang","suffix":""},{"id":87567008,"identity":"d787a586-be38-4d9a-a5af-53b1a88c8dac","order_by":3,"name":"Xuan Huang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+klEQVRIiWNgGAWjYBACAziLvSGBgcEGxEogVgvPAaDSNJK0SIBUEqPFXCL52cOvbYflzSUfPJPmSbBh4GfPMWD4uQO3FssZaebGMmcOG+6cnZBszJOQxiDZ88aAsfcMHofdSDCTlqg4zLjhdkLiY94fh4EiOQbMjG34tKR/k5YwOGy/4eaBhMM8Cf8Z7AlryTGT/FBxOHHDDYbExzwJBxgMJAhpOfOmTJrhTHryhjMJyYZzEpJ5JM48KzjYi0/L8fRtkj/brG03HD+TJvEmwU6Ovz1544OfeLSAADMPmOJJAJMg4gB+DQwMjD/AFDtBhaNgFIyCUTBCAQDq8lNkahIdeQAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-9903-6382","institution":"Jiangxi University of Finance and Economics","correspondingAuthor":true,"prefix":"","firstName":"Xuan","middleName":"","lastName":"Huang","suffix":""},{"id":87567009,"identity":"af5a1125-155d-4b08-84a8-80ffd99038e8","order_by":4,"name":"YouYu Cheng","email":"","orcid":"","institution":"Jiangxi University of Finance and Economics","correspondingAuthor":false,"prefix":"","firstName":"YouYu","middleName":"","lastName":"Cheng","suffix":""}],"badges":[],"createdAt":"2022-02-16 07:01:13","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-1364390/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-1364390/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":18843928,"identity":"c6151c41-3241-40d8-91fc-df21ffb260fe","added_by":"auto","created_at":"2022-03-03 22:41:41","extension":"pdf","order_by":2,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":798000,"visible":true,"origin":"","legend":"","description":"","filename":"Submition2022224.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1364390/v1_covered.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003eAn Integrated Group Decision-making Method for Hypertension Risk Management Under Interval-valued q-rung Othopair Fuzzy\u003c/p\u003e","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-1364390/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Interval-valued q-rung orthopair fuzzy sets, Yager operator, decision-making method","lastPublishedDoi":"10.21203/rs.3.rs-1364390/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-1364390/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis paper develops a new group decision-making (GDM) method for multi-attribute group decision-making (MAGDM) problems with unknown weights, which integrates Yager operator, CRITIC and WASPAS decision methods under interval-valued q-rung orthopair fuzzy sets (IVq-ROFS). The main contributions of this paper are concluded as below: (1) We first extend the distance measurement to interval-valued q-rung fuzzy numbers (IVq-ROFNs), and proves its properties. And we develop a new score function which is used to measure IVq-ROFNs, and the new score function overcomes the deficiencies of the existing score function. (2) We extend Yager weighted average operator (IVq-ROFYWA) and Yager weighted geometric average operator (IVq-ROFYWG) under IVq-ROFS, and we discuss the properties of IVq-ROFYWA and IVq-ROFYWG operators. (3) We propose a new method to derive expert weights of different alternatives, which can avoid the deficiency of overall decision-making perspective. And we extend deriving attribute weights method based on CRITIC under IVq-ROFS. (4) A new integrated MAGDM method is proposed. The MAGDM method integrates Yager operator, score function, distance measurement, expert weights deriving method, CRITIC method, and WASPAS method. (5) Finally, the group decision-making algorithm is used for hypertension risk management. The results are consistent with experts\u0026rsquo; opinions. 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