Assessment of Drought Projections using the Integrated Fuzzy Analytical Hierarchy Process

Assessment of Drought Projections using the Integrated Fuzzy Analytical Hierarchy Process | 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 Assessment of Drought Projections using the Integrated Fuzzy Analytical Hierarchy Process Prem Kumar, Syed Feroz Shah, Shoaib Ahmed Kharti, Mohammad Aslam Uqaili, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4458887/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 Effective mitigation planning has become essential considering the complexity and ambiguity of the drought. The Fuzzy analytical hierarchy process (Fuzzy-AHP) and a comparison matrix method are the key elements of this research's framework for planning drought mitigation for the Tharparkar desert region in Pakistan. Fuzzy-AHP, an efficient decision-making tool, offers systematic evaluation based on survey questionnaire criteria. It was created through a literature review and has received feedback from 40 various stakeholders. The identification of the criteria, the fuzzy-AHP model, consistency analysis, weight aggregation, assessment of the alternatives, ranking, and selection are the crucial steps in the technique suggested by this study. This approach, which offers a reliable and flexible framework for planning drought mitigation, incorporates the Fuzzy-AHP model and a comparison matrix. As it can handle confusing and subjective inputs, decision-makers can use it to identify drought situations, evaluate them, and select the best drought mitigation strategies. This research serves to improve the efficacy of drought mitigation planning processes across a range of sectors by offering a thorough and flexible decision-support tool. Drought Fuzzy-AHP Comparison Matrix Consistency ratio Mitigation Full Text 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-4458887","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":306439518,"identity":"a912f554-b6e5-4932-a0b7-9aa09b9ab167","order_by":0,"name":"Prem Kumar","email":"","orcid":"","institution":"Mehran University of Engineering \u0026 Technology","correspondingAuthor":false,"prefix":"","firstName":"Prem","middleName":"","lastName":"Kumar","suffix":""},{"id":306439519,"identity":"d4062098-03bb-4de7-a0ce-c03a95f1cf3a","order_by":1,"name":"Syed Feroz Shah","email":"","orcid":"","institution":"Mehran University of Engineering \u0026 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