A Smart Contract-Based Patent Value Assessment Model

A Smart Contract-Based Patent Value Assessment Model | 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 Article A Smart Contract-Based Patent Value Assessment Model Fu Gao, Wenlong Feng, Mengxing Huang, Siling Feng, Jiangtao Li This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9083247/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 6 You are reading this latest preprint version Abstract To address issues in traditional patent valuation—such as subjective selection of dimensional metrics, weak sensitivity to high-dimensional transaction data noise, and insufficient correlation between evaluation indicators and dimensions—this study proposes a smart contract-based patent value assessment model. Firstly, existing patent valuation theories and techniques undergo systematic deconstruction and multidimensional efficacy assessment. Leveraging big data technology, a four-dimensional optimal framework integrating "technology-market-legal-risk" dimensions is constructed. Secondly, an enhanced non-negative matrix factorization algorithm (S-NMF) is designed. By incorporating diagonal matrices and fused regularization parameters, this algorithm maps the four-dimensional optimal framework into 14 quantifiable metrics using Hyperledger Fabric consortium blockchain transaction data. This addresses the core limitation of classical NMF algorithms—the inability to adjust dimension weights—enabling flexible weighting control to meet differentiated valuation needs across diverse patent application scenarios. Finally, performance analysis and simulation experiments were conducted on the patent value assessment model, comparing it with the traditional NMF algorithm. Results demonstrate that this model outperforms traditional models in both noise robustness and dimensional correlation, effectively supporting patent value assessment needs across multiple scenarios. Physical sciences/Engineering Physical sciences/Mathematics and computing Consortium blockchain Smart contract S-NMF algorithm Hyperledger Fabric Patent value assessment Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 18 May, 2026 Reviewers invited by journal 31 Mar, 2026 Editor assigned by journal 19 Mar, 2026 Editor invited by journal 17 Mar, 2026 Submission checks completed at journal 14 Mar, 2026 First submitted to journal 14 Mar, 2026 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. 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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-9083247","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":615775697,"identity":"96ebc312-3bf6-4d43-8994-189605e9a7c7","order_by":0,"name":"Fu Gao","email":"","orcid":"","institution":"Hainan University","correspondingAuthor":false,"prefix":"","firstName":"Fu","middleName":"","lastName":"Gao","suffix":""},{"id":615775698,"identity":"0035e4fe-15c6-4ca8-b52a-37526477084e","order_by":1,"name":"Wenlong Feng","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6ElEQVRIiWNgGAWjYBACfvbGxgcJBjYJDMwwoQMEtEj2HD5s8KEijQQtBjfS0gRnnDmcgBAirCXHjJm37Xwefzvvwc+FbQxyfDcSGD8X4HPYmTdmj3nbbhdLHOZLlp7ZxmAseSOBWXoGHi18x3PMjYFaEhsO8xhI87YxJG64kcDGzIPPZQdyzIAqzyXOP8xj/BuopZ6gFoETaWmSM84cSNxwmAeklyHBgJAWaCAnJ24EarHmOSdhOPPMw2ZpfFqgUWmXOO/8GePbPGU28nzHkw9+xusXNCABxIwNJGgYBaNgFIyCUYANAAAfrVBW382ImgAAAABJRU5ErkJggg==","orcid":"","institution":"Hainan University","correspondingAuthor":true,"prefix":"","firstName":"Wenlong","middleName":"","lastName":"Feng","suffix":""},{"id":615775699,"identity":"3662cc56-54d7-465d-93ab-ce1fa144364b","order_by":2,"name":"Mengxing Huang","email":"","orcid":"","institution":"Hainan University","correspondingAuthor":false,"prefix":"","firstName":"Mengxing","middleName":"","lastName":"Huang","suffix":""},{"id":615775700,"identity":"feb2999e-bb7e-4124-bf03-46358fe457dc","order_by":3,"name":"Siling Feng","email":"","orcid":"","institution":"Hainan University","correspondingAuthor":false,"prefix":"","firstName":"Siling","middleName":"","lastName":"Feng","suffix":""},{"id":615775701,"identity":"22c96c66-8ab4-472e-b292-385e07dad9cf","order_by":4,"name":"Jiangtao Li","email":"","orcid":"","institution":"Hainan University","correspondingAuthor":false,"prefix":"","firstName":"Jiangtao","middleName":"","lastName":"Li","suffix":""}],"badges":[],"createdAt":"2026-03-10 11:28:24","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9083247/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9083247/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":106093891,"identity":"c09357a6-b4f6-498c-9572-38d051b423a9","added_by":"auto","created_at":"2026-04-03 11:39:53","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":971113,"visible":true,"origin":"","legend":"","description":"","filename":"ASmartContractBasedPatentValueAssessmentModel.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9083247/v1_covered_86271ced-cf3c-4b66-aea3-2689e2a7ed44.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A Smart Contract-Based Patent Value Assessment Model","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Consortium blockchain, Smart contract, S-NMF algorithm, Hyperledger Fabric, Patent value assessment","lastPublishedDoi":"10.21203/rs.3.rs-9083247/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9083247/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eTo address issues in traditional patent valuation\u0026mdash;such as subjective selection of dimensional metrics, weak sensitivity to high-dimensional transaction data noise, and insufficient correlation between evaluation indicators and dimensions\u0026mdash;this study proposes a smart contract-based patent value assessment model. Firstly, existing patent valuation theories and techniques undergo systematic deconstruction and multidimensional efficacy assessment. Leveraging big data technology, a four-dimensional optimal framework integrating \"technology-market-legal-risk\" dimensions is constructed. Secondly, an enhanced non-negative matrix factorization algorithm (S-NMF) is designed. By incorporating diagonal matrices and fused regularization parameters, this algorithm maps the four-dimensional optimal framework into 14 quantifiable metrics using Hyperledger Fabric consortium blockchain transaction data. This addresses the core limitation of classical NMF algorithms\u0026mdash;the inability to adjust dimension weights\u0026mdash;enabling flexible weighting control to meet differentiated valuation needs across diverse patent application scenarios. Finally, performance analysis and simulation experiments were conducted on the patent value assessment model, comparing it with the traditional NMF algorithm. 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