An integrated Z-number and intuitionistic fuzzy sets for considering uncertainty in the risk assessment using the SHIPP methodology

An integrated Z-number and intuitionistic fuzzy sets for considering uncertainty in the risk assessment using the SHIPP methodology | 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 An integrated Z-number and intuitionistic fuzzy sets for considering uncertainty in the risk assessment using the SHIPP methodology Mostafa Mirzaei Aliabadi, Rouzbeh Abbassi, Vahid Ahmadi Moshiran, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4281218/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 Uncertainty presents a challenge in assessing risks, often resulting in outcomes that diverge from reality. System Hazard Identification, Prediction and Prevention (SHIPP), as one of the emerging risk assessment methods, aims to predict and effectively prevent accidents. This study aims to enhance the prediction potential of the SHIPP method by reducing uncertainty by combining Z-numbers and intuitionistic fuzzy logic. The experts' opinions and confidence levels regarding the prior probability of basic events (BEs) were measured using Intuitionistic Z-numbers (IZN). Subsequently, the SHIPP method utilized the obtained results and the actual data on unusual events in the industry to determine the posterior probability of barrier failure and consequences. The practical application of the developed methodology was demonstrated by selecting spherical tanks containing LPG. The results indicated that employing IZN to estimate the prior probability of BEs reduces uncertainty in determining the posterior probability of barrier failure and subsequent consequences. Consequently, enhancing the predictive accuracy of the SHIPP method in estimating the likelihood of unusual events will significantly improve the quality of risk management. Physical sciences/Mathematics and computing Physical sciences/Mathematics and computing/Computational science Intuitionistic fuzzy set Z-number SHIPP Reliability spherical tank Full Text Additional Declarations No competing interests reported. Supplementary Files 6.supplementaryAppendix.docx 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. 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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-4281218","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":312112761,"identity":"d912e21e-d60d-4842-a5b6-a0b6571f7bfc","order_by":0,"name":"Mostafa Mirzaei Aliabadi","email":"","orcid":"","institution":"Hamadan University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Mostafa","middleName":"Mirzaei","lastName":"Aliabadi","suffix":""},{"id":312112762,"identity":"a8e640de-e640-4106-9c23-f655a3e3d230","order_by":1,"name":"Rouzbeh Abbassi","email":"","orcid":"","institution":"Macquarie 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