A Novel Multi-Criteria Decision Analysis Technique Incorporating Demanding Essential Characteristics of Existing MCDA Techniques

A Novel Multi-Criteria Decision Analysis Technique Incorporating Demanding Essential Characteristics of Existing MCDA Techniques | 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 A Novel Multi-Criteria Decision Analysis Technique Incorporating Demanding Essential Characteristics of Existing MCDA Techniques Susmita Bandyopadhyay This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1163422/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 has proposed a novel Multi-Criteria Decision Analysis (MCDA) technique that considers relationships among the criteria, relationships among the alternatives, relationships among the criteria and the alternatives, the uncertainty or dilemma that the decision makers face in their decision-making, the entropy among the criteria. These characteristics seem to be the essential characteristics of various MCDA techniques as evident from the existing literature. The dilemma of the decision makers have been captured by the use of Hesitant Fuzzy Elements; the information content among the criteria have been captured by applying the concept of entropy through the application of a technique called IDOCRIW. Relationships have been determined by calculating the covariances among the criteria and among the alternatives. A kind of sensitivity analysis, rank reversal method has been performed to verify the effectiveness of the proposed technique. The proposed method has also been compared with four different types of already existing MCDA techniques, AHP, MAUT, MACBETH and MOORA. Both the sensitivity analysis and the comparison with other methods establish the effectiveness of the proposed technique. Novel MCDA Technique IDOCRIW Hesitant Fuzzy Elements Spearman’s rank correlation 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-1163422","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":69546328,"identity":"e517ad0a-2028-4fe7-87a2-21864c0c645b","order_by":0,"name":"Susmita Bandyopadhyay","email":"data:image/png;base64,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","orcid":"https://orcid.org/0000-0001-5753-4466","institution":"The University of Burdwan","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Susmita","middleName":"","lastName":"Bandyopadhyay","suffix":""}],"badges":[],"createdAt":"2021-12-12 10:07:19","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-1163422/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-1163422/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":16494701,"identity":"99807fef-3c00-455d-85f3-5928ac7a5bb8","added_by":"auto","created_at":"2021-12-15 22:09:48","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":699744,"visible":true,"origin":"","legend":"","description":"","filename":"aggregatepaper.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1163422/v1_covered.pdf"}],"financialInterests":"","formattedTitle":"A Novel Multi-Criteria Decision Analysis Technique Incorporating Demanding Essential Characteristics of Existing MCDA Techniques","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-1163422/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":"Novel MCDA Technique, IDOCRIW, Hesitant Fuzzy Elements, Spearman’s rank correlation","lastPublishedDoi":"10.21203/rs.3.rs-1163422/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-1163422/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis paper has proposed a novel Multi-Criteria Decision Analysis (MCDA) technique that considers relationships among the criteria, relationships among the alternatives, relationships among the criteria and the alternatives, the uncertainty or dilemma that the decision makers face in their decision-making, the entropy among the criteria. 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