Evaluating the Multifunctional Resilience of River Health to Human Service Demand: A Comparison among Fuzzy Logic, Entropy and AHP Based MCDM Models

Evaluating the Multifunctional Resilience of River Health to Human Service Demand: A Comparison among Fuzzy Logic, Entropy and AHP Based MCDM Models | 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 Evaluating the Multifunctional Resilience of River Health to Human Service Demand: A Comparison among Fuzzy Logic, Entropy and AHP Based MCDM Models RAJ BHATTACHARYA, Nilanjana Das Chatterjee, Kousik Das This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-621760/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 Ecosystem services of river for human beings are guided by harmonious relationship; however over growing human service demands (HSDs) are leading to deteriorate the river health connotation. In this study, an assessment index system of monsoonal quarried river health including twenty indicators consisting of riparian, morphological, hydroecological and social structure were established to detect the multifunctional threshold of river system integrity in respect to HSDs at upper (US), middle (MS), lower segments (LS) of Kangsabati River using fuzzy logic, AHP and entropy based multi-criteria decision matrix (MCDM) methods i.e. vlseKriterijumska optimizacija I Kompromisno Resenje (VIKOR), simple additive weighing (SAW), complex proportion assessment of alternatives (COPRAS), weighted aggregated sum product assessment (WASPAS), technique for order preference by similarity to ideal solution (TOPSIS). The results revealed that overall indicators performance is generally healthy in MS, medium health level in US but mostly unhealthy in LS; and AHP and fuzzy MCDM methods assigned as high priority rank to MS, medium rank to US and least rank to LS, while entropy MCDM methods gives highest rank to US, medium rank to MS and least rank to LS, respectively. According to model validation performances, fuzzy and AHP MCDM methods are signified to HSDs, and results are closer to real problems, whereas entropy MCDM methods are rationalized to harmonic relationship of riverine system. With the acceptability of AHP SAW and WASPASS, it can be concluded that over HSDs is main culprit for river health degradation, and research results are identified the sick sites for ecological restoration. Environmental Chemistry Toxicology Harmonious relationship Human service demands (HSDs) River health connotation Multifunctional threshold Multi-criteria decision matrix (MCDM) Full Text Supplementary Files Supplimentary.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. 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-621760","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":38173223,"identity":"eae7688d-8924-47c9-9439-04a247c3626a","order_by":0,"name":"RAJ 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In this study, an assessment index system of monsoonal quarried river health including twenty indicators consisting of riparian, morphological, hydroecological and social structure were established to detect the multifunctional threshold of river system integrity in respect to HSDs at upper (US), middle (MS), lower segments (LS) of Kangsabati River using fuzzy logic, AHP and entropy based multi-criteria decision matrix (MCDM) methods i.e. vlseKriterijumska optimizacija I Kompromisno Resenje (VIKOR), simple additive weighing (SAW), complex proportion assessment of alternatives (COPRAS), weighted aggregated sum product assessment (WASPAS), technique for order preference by similarity to ideal solution (TOPSIS). The results revealed that overall indicators performance is generally healthy in MS, medium health level in US but mostly unhealthy in LS; and AHP and fuzzy MCDM methods assigned as high priority rank to MS, medium rank to US and least rank to LS, while entropy MCDM methods gives highest rank to US, medium rank to MS and least rank to LS, respectively. According to model validation performances, fuzzy and AHP MCDM methods are signified to HSDs, and results are closer to real problems, whereas entropy MCDM methods are rationalized to harmonic relationship of riverine system. 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