Progress in Multicriteria Decision Making Models : A New Paradigm to Monitor Hazards

Somenath Halder

ISBN 10: 3031892453 / ISBN 13: 9783031892455

Editore: Springer Nature Switzerland, Springer International Publishing, 2025

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Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive exploration of Multicriteria Decision Making (MCDM) models, presenting a novel approach to hazard monitoring that enhances decision-making. Using advanced GIS techniques and integrating both subjective and objective models, this volume addresses the complex interdependencies of various risk factors. The chapters here explore how MCDM methods can be effectively applied to assess and manage risks associated with natural disasters and other hazards. They highlight various MCDM methodologies such as the Analytic Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Multi-Attribute Utility Theory (MAUT), each offering unique approaches to complex decision problems. The significance of these methods lies in their ability to accommodate diverse preferences and handle uncertainties that are inherent in the monitoring and management of hazards.One of the central themes of the book is the holistic approach to hazard monitoring. This approach integrates various factors including hazard severity, the vulnerability of assets, and the likelihood of occurrence, economic implications, and societal impacts into a cohesive framework. This enables stakeholders to achieve a comprehensive understanding of hazards and their potential effects, facilitating more informed and robust decision-making. By showcasing applications across different domains such as disaster management, environmental risk assessment, urban planning, and infrastructure development, the book demonstrates the practical utility of MCDM in real-world settings. Each chapter provides detailed case studies and comparative analyses that illustrate how these methodologies can be applied to optimize hazard monitoring and risk assessment.This book is useful to academic researchers and students in the fields of geography, environmental science, and disaster management, as well as professionals and policymakers involved in hazard assessment and mitigation. It serves as an essential resource for anyone looking to enhance their understanding of multicriteria decision-making processes and their application in the context of hazard monitoring and risk management.

Codice articolo 9783031892455

Dati bibliografici

• Titolo: Progress in Multicriteria Decision Making Models : A New Paradigm to Monitor Hazards
• Editore: Springer Nature Switzerland, Springer International Publishing
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 3031892453
• ISBN 13: 9783031892455
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 241 L x 160 A x 34 P (millimetri) 241 millimetri di larghezza per 160 millimetri di altezza per 34 millimetri di profondità
• Peso: 1111 grammi

Descrizione articolo

Riassunto

This book offers a comprehensive exploration of Multicriteria Decision Making (MCDM) models, presenting a novel approach to hazard monitoring that enhances decision-making. Using advanced GIS techniques and integrating both subjective and objective models, this volume addresses the complex interdependencies of various risk factors. The chapters here explore how MCDM methods can be effectively applied to assess and manage risks associated with natural disasters and other hazards. They highlight various MCDM methodologies such as the Analytic Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Multi-Attribute Utility Theory (MAUT), each offering unique approaches to complex decision problems. The significance of these methods lies in their ability to accommodate diverse preferences and handle uncertainties that are inherent in the monitoring and management of hazards.

One of the central themes of the book is the holistic approach to hazard monitoring. This approach integrates various factors including hazard severity, the vulnerability of assets, and the likelihood of occurrence, economic implications, and societal impacts into a cohesive framework. This enables stakeholders to achieve a comprehensive understanding of hazards and their potential effects, facilitating more informed and robust decision-making. By showcasing applications across different domains such as disaster management, environmental risk assessment, urban planning, and infrastructure development, the book demonstrates the practical utility of MCDM in real-world settings. Each chapter provides detailed case studies and comparative analyses that illustrate how these methodologies can be applied to optimize hazard monitoring and risk assessment.

This book is useful to academic researchers and students in the fields of geography, environmental science, and disaster management, as well as professionals and policymakers involved in hazard assessment and mitigation. It serves as an essential resource for anyone looking to enhance their understanding of multicriteria decision-making processes and their application in the context of hazard monitoring and risk management.

Informazioni sull?autore

Dr. Jayanta Das is an Assistant Professor at the Department of Geography in Rampurhat College, University of Burdwan, West Bengal, India. He has completed his Post Graduate and PhD degrees from the Department of Geography and Applied Geography, University of North Bengal, India. Dr. Das’s broad area of PhD thesis is covering the broader theme of applied geography and GIScience. His research interest includes geomorphology, hydro-geomorphology, mountain geomorphology, coastal geomorphology, groundwater, flood, drought analysis, climate change, watershed management, hydrological modeling, water quality, geospatial data analysis, data mining, and GIS applications with more than 17 academic years of experience. Dr. Jayanta Das has published more than 70 scholarly articles in peer-reviewed journals, focusing mainly on: climate change, agricultural suitability analysis, natural and man-made hazards analysis, risk management, and spatial data analysis. Recently, Dr. Das has published an edited book entitled Monitoring and Managing Multi-hazards: A Multidisciplinary Approach jointly with Dr. Sudip Kumar Bhattacharya from Springer Nature, and Advancement of GI-Science and Sustainable Agriculture: A Multi-Dimensional Approach and New Advancements in Geomorphological Research: Issues & Challenges in Quantitative Spatial Science with Dr. Somenath Halder from Springer. Dr. Das has led special issues in journals like Environmental Science and Pollution Research and contributed to multiple volumes with Springer.

Dr. Somenath Halder is an Assistant Professor at the Department of Geography in Kaliachak College, University of Gour Banga, West Bengal, India. He has completed his PG from Department of Geography and Applied Geography, University of North Bengal, India, and PhD from Department of Geography, Visva-Bharati, India. Dr. Halder’s field of interest includes multi-dimensional data modeling connecting to socio-political agenda, conflicting issues with laws and ecology, community practices, crisis management, spatio-temporal analysis, environmental management, policy science, climate change, watershed management, hydrological modeling, geospatial data analysis, and GIS applications with more than 15 academic years of experience. Dr. Halder has published more than 48 research articles in peer-reviewed reputed journals. Meanwhile, he performs his academic endeavor as peer-reviewer in number of Scopus and Web of Science indexed prestigious journals like, Modeling Earth System and Environment, Journal of Environment, Development and Sustainability, Internal Journal of Geoheritage and Parks, GeoJournal, South Asian Survey, Research in Globalization, Current Psychology, Sage Open, and may more. Recently Dr. Halder published an edited book entitled Advancement of GI-Science and Sustainable Agriculture: A Multi-Dimensional Approach and New Advancements in Geomorphological Research: Issues & Challenges in Quantitative Spatial Science jointly with Dr. Jayanta Das from Springer.