Graphical Fuzzy AHP Platform

Graphical Fuzzy AHP Platform | 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 Graphical Fuzzy AHP Platform Rafal Stegierski, Patrycja Miazek, Albert Rachwal, Pawel Karczmarek This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7228181/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 The Analytic Hierarchy Process (AHP) is a well-established method for multi-criteria decision-making that structures complex problems hierarchically. However, classical AHP struggles with uncertainty, which has led to the development of fuzzy extensions incorporating linguistic assessments. Building on this, Graphical Fuzzy AHP enhances intuitiveness by allowing users to visually express preferences through interactive tools. In an experiment involving 50 experts, the proposed approach reduced the average Consistency Ratio from 0.29 to 0.14, indicating improved judgment stability. We present a dedicated software platform that supports both classical and graphical fuzzy AHP methods. The system is designed for ease of deployment and use, employing technologies such as Docker, RethinkDB, FastAPI, and Vue.js. It enables the creation and administration of surveys with multiple response modalities, along with exportable results and built-in analytical tools. The platform improves the accessibility, transparency, and reliability of decision-making processes in complex and uncertain environments. Physical sciences/Engineering Physical sciences/Mathematics and computing 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-7228181","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":524961862,"identity":"df385c2a-0b52-4a36-a027-27eab48d8b8f","order_by":0,"name":"Rafal 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