Serial Crime Detection Through Selective Resemblance Measure Calculation (SRMC) and Threshold Value Accuracy Measure (TVAM): A novel approach

Serial Crime Detection Through Selective Resemblance Measure Calculation (SRMC) and Threshold Value Accuracy Measure (TVAM): A novel approach | 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 Serial Crime Detection Through Selective Resemblance Measure Calculation (SRMC) and Threshold Value Accuracy Measure (TVAM): A novel approach Soumendra Goala This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4008079/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 Serial crime detection using automation is becoming one of the most important study due to its immense applicability and ability to reduce time consumption and energy during serial crime investigation. For this reason, it is always to have efficient methodologies for serial crime detection under different types of uncertain environment. In this paper, two new methodologies has been developed named as Serial crime detection through Selective Resemblance Measure Calculation (SRMC) and Serial crime detection through Threshold Value Accuracy Measure (TVAM) by modifying an existing methodology for Serial crime detection through Resemblance measure under Intuitionistic fuzzy environment. For each methodologies, case studies has been carried out for and justification has been done about the applicability and reliability of these methodologies. In addition, a comparative analysis on the basis of the efficiency of the newly developed methodologies has been given. Intuitionistic fuzzy set Resemblance measure Serial crime detection Threshold Value Full Text Additional Declarations No competing interests reported. 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-4008079","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":276187851,"identity":"5d3bbc61-11cf-48bd-910b-0fbb9721e457","order_by":0,"name":"Soumendra Goala","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABAUlEQVRIiWNgGAWjYPACZgj1gMEGSDI2HiBeSwJDGkhLA0laDoNpvFrk23tMN3zcYZ3P37/44IeEmvN2a9sPA22psYnGpcXgzBmzmzPPpFvOuPEsWSLh2O3kbWcSgVqOpeU24NIikWN2m7ftsAHDjTMGEglst5PNDgC1MDYcxqlFfgZQy1+gFvkbZ4x/JPw7l2x2/iF+LQw3gFoYgVoMzveYSSS2HbAzu0HAFoMzx8pu9ralGxjeYEuzSOxLTjC7AbQlAY9f5Nubt9342WZtIHf+8OEbH77Z2ZudT3/44EONDW6HwYFEAphKBKtMIKgcBPgPgCl7ohSPglEwCkbBiAIAR6xrVs+KBDYAAAAASUVORK5CYII=","orcid":"","institution":"North Eastern Regional Institute of Science and Technology Arunachal Pradesh","correspondingAuthor":true,"prefix":"","firstName":"Soumendra","middleName":"","lastName":"Goala","suffix":""}],"badges":[],"createdAt":"2024-03-03 09:17:05","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4008079/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4008079/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":59534536,"identity":"11758c05-a684-4e3c-b8d4-f4c97e04a9ef","added_by":"auto","created_at":"2024-07-03 01:29:32","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":378306,"visible":true,"origin":"","legend":"","description":"","filename":"NovelSerialcrimedetectionmethodologySRMCTVAM.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4008079/v1_covered_b6280398-220b-4153-8198-ac0ea9619631.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Serial Crime Detection Through Selective Resemblance Measure Calculation (SRMC) and Threshold Value Accuracy Measure (TVAM): A novel approach","fulltext":[],"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":true,"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":"Intuitionistic fuzzy set, Resemblance measure, Serial crime detection, Threshold Value","lastPublishedDoi":"10.21203/rs.3.rs-4008079/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4008079/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eSerial crime detection using automation is becoming one of the most important study due to its immense applicability and ability to reduce time consumption and energy during serial crime investigation. 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