A Novel Index Weight Determination Method for Improving Objectivity

A Novel Index Weight Determination Method for Improving Objectivity | 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 A Novel Index Weight Determination Method for Improving Objectivity Zifei Ma, Qinghua Li, Wengang Li, Yun He, Juan Yang, Yang Li, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4333443/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 index weight determines the scientificity and rationality of the comprehensive evaluation results. However, the traditional index calculation method, which is scored directly by decision-makers, excessively depends on the degree of experience and knowledge accumulation of decision-makers. Different decision-makers’ understandings of the index have great differences and fuzziness, which makes the weight calculation results biased or even wrong due to the influence of human subjective factors. To solve this problem, this paper considers that the index weight value contains the decision-makers’ personal subjective information and common objective information, and then proposes a weight calculation approach to improve the objectivity of the index based on the Superiority of Neighboring Objectives and the Ensemble Empirical Mode Decomposition, which can eliminate the subjective information in the weight value and obtain a more objective weight value. Finally, the rationality and objectivity of the proposed method are verified by comparing them with the classical AHP, subjective weighting method and objective weighting method. Health sciences/Risk factors Physical sciences/Mathematics and computing/Computer science Physical sciences/Mathematics and computing/Information technology Optimization of index weight Subjective and objective weight Ensemble Empirical Mode Decomposition 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. 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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-4333443","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":299333451,"identity":"8751edee-3adc-44d8-a299-b6c3954d103d","order_by":0,"name":"Zifei Ma","email":"","orcid":"","institution":"Yunnan Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Zifei","middleName":"","lastName":"Ma","suffix":""},{"id":299333453,"identity":"dc99d226-5b49-4615-81c1-516621cc8244","order_by":1,"name":"Qinghua Li","email":"","orcid":"","institution":"Yunnan Agricultural 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