{"paper_id":"032ccc5f-d361-4825-b268-60917f7ea25c","body_text":"Towards Intelligent Decision Support: A Product Evaluation Model Based on Semantic Mining and Decision Optimisation | 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 Towards Intelligent Decision Support: A Product Evaluation Model Based on Semantic Mining and Decision Optimisation Xueqian Jiang, Kexiang Li, Yawen Hu, Dezheng Wu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7795334/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 14 You are reading this latest preprint version Abstract The current product evaluation systems, constrained by fixed indicators and subjective weighting, struggle to adapt to dynamic market demands. This study proposes a data-driven framework integrating latent Dirichlet allocation, fuzzy analytic hierarchy process, and particle swarm optimization. User reviews and product parameters are collected from e-commerce platforms, with latent Dirichlet allocation extracting latent themes to build a multi-dimensional indicator system. fuzzy analytic hierarchy process quantifies qualitative indicators to form an initial judgment matrix, while particle swarm optimization performs global optimization and consistency correction to minimize expert bias. An empirical case on smartwatches demonstrates that the model’s comprehensive scores strongly correlate with market popularity and user reviews. The proposed evaluation system effectively combines demand insights with market adaptability, offering a robust theoretical and methodological foundation for product design optimization and differentiated strategy formulation. Physical sciences/Engineering Physical sciences/Mathematics and computing Latent Dirichlet Allocation (LDA) Fuzzy Analytic Hierarchy Process (FAHP) Particle Swarm Optimization (PSO) Product Evaluation System Multi-modal Evaluation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 17 Nov, 2025 Reviews received at journal 16 Nov, 2025 Reviews received at journal 16 Nov, 2025 Reviews received at journal 15 Nov, 2025 Reviews received at journal 10 Nov, 2025 Reviewers agreed at journal 07 Nov, 2025 Reviewers agreed at journal 06 Nov, 2025 Reviewers agreed at journal 06 Nov, 2025 Reviewers agreed at journal 06 Nov, 2025 Reviewers invited by journal 06 Nov, 2025 Editor invited by journal 15 Oct, 2025 Editor assigned by journal 07 Oct, 2025 Submission checks completed at journal 07 Oct, 2025 First submitted to journal 06 Oct, 2025 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-7795334\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":false,\"archivedVersions\":[],\"articleType\":\"Article\",\"associatedPublications\":[],\"authors\":[{\"id\":545848765,\"identity\":\"3471e272-303a-4ebe-9c73-b6e7c295a9f7\",\"order_by\":0,\"name\":\"Xueqian Jiang\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Jimei University\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Xueqian\",\"middleName\":\"\",\"lastName\":\"Jiang\",\"suffix\":\"\"},{\"id\":545848766,\"identity\":\"165cfbd5-41b1-40f4-977a-1446c71dce46\",\"order_by\":1,\"name\":\"Kexiang 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