Enhanced Algorithms for Reliable Decision-Making under Imprecision in the Neutrosophic Soft Set Framework

Enhanced Algorithms for Reliable Decision-Making under Imprecision in the Neutrosophic Soft Set Framework | 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 Enhanced Algorithms for Reliable Decision-Making under Imprecision in the Neutrosophic Soft Set Framework Honer N. Abdullah, Hariwan Fadhil M.Salih, Zanyar A. Ameen, Baravan Asaad This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8320839/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 presents new decision-making techniques designed to manage complex problems more effectively under uncertainty. Working within the framework of neutrosophic soft sets, the study introduces two algorithms---the Column Difference Comparison Matrix (CDCM) algorithm and the Row Difference Comparison Matrix (RDCM) algorithm---developed to address the challenges posed by indeterminate, inconsistent, and conflicting information. These algorithms provide a systematic way to reduce uncertainty, enhance precision, and ensure greater stability when evaluating alternatives in multi-criteria decision-making (MCDM) environments. A detailed numerical example illustrates the implementation steps and demonstrates how the proposed methods deliver clearer and more reliable outcomes compared with traditional approaches. A comparative analysis is also conducted against techniques based on q-rung orthopair fuzzy soft sets, T-spherical fuzzy soft sets, and neutrosophic soft sets. The results show that the new algorithms offer improved robustness, scalability, and decision quality in situations involving ambiguous or imprecise data. Neureosophic soft set q-rung orthopair fuzzy soft set T-spherical fuzzy soft set CDCM algorithm RDCM algorithm decision-making 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-8320839","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":566121228,"identity":"9a4187a9-6431-4ceb-85eb-2618b55ec81c","order_by":0,"name":"Honer N. 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