Risk evaluation for human factors of flight dispatcher based on the hesitant fuzzy TOPSIS-DEMATEL-ISM approach: A case study in Sichuan Airlines | 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 Risk evaluation for human factors of flight dispatcher based on the hesitant fuzzy TOPSIS-DEMATEL-ISM approach: A case study in Sichuan Airlines Jing-Han Zeng, Jing-Yang Huang, Qing-Wei Zhong, Dai-Wu Zhu, Yi Dai This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4949879/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 11 You are reading this latest preprint version Abstract To effectively mitigate unsafe events and accident symptoms stemming from flight dispatchers’ human factors, this paper proposes a novel risk evaluation model to objectively and accurately identify and evaluate potential human risks associated with flight dispatchers. First, the HFACS (Human Factors Analysis and Classification System, HFACS) model is employed to construct a human risk assessment indicator system for flight dispatchers. Second, the hesitant fuzzy set is introduced to represent the uncertainty inherent during experts’ evaluation, and the improved TOPSIS (Technique for Order Preference by Similarity to Ideal Solution, TOPSIS) method is applied within a hesitant fuzzy environment to obtain rankings of human factors. Third, the hesitant fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory, DEMATEL)-ISM (Interpretive Structural Modeling, ISM) method is constructed to analyze the correlation among human factors, leading to the establishment of a multi-level hierarchical structure model. Finally, a case study of risk assessment for human factors of flight dispatchers in Sichuan Airlines is conducted to demonstrate the effectiveness of the proposed method. The results revealed the human factors that exhibit higher risks and the key factors influencing flight dispatchers’ human risk in Sichuan Airlines; then, a multi-level hierarchical structure model comprises five layers is developed to investigate the internal correlation among human factors, enabling the formulation of targeted improvement suggestions for higher-risk indicators and key influencing factors. Flight dispatcher risk evaluation human factors HFACS model hesitant fuzzy theory TOPSIS-DEMATEL-ISM approach Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 07 Sep, 2024 Reviews received at journal 05 Sep, 2024 Reviews received at journal 04 Sep, 2024 Reviewers agreed at journal 03 Sep, 2024 Reviewers agreed at journal 30 Aug, 2024 Reviewers agreed at journal 29 Aug, 2024 Reviewers agreed at journal 29 Aug, 2024 Reviewers invited by journal 29 Aug, 2024 Editor assigned by journal 29 Aug, 2024 Submission checks completed at journal 23 Aug, 2024 First submitted to journal 21 Aug, 2024 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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