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

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 interdepe...

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Autor corporatiu: SpringerLink (Online service)
Altres autors: Das, Jayanta (Editor), Halder, Somenath (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edició:1st ed. 2025.
Col·lecció:Advances in Geographic Information Science,
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Accés en línia:https://doi.org/10.1007/978-3-031-89246-2
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Taula de continguts:
  • Part 1: Observatory Persuasion
  • Chapter 1: Introduction to Multicriteria Decision Making in Hazard Monitoring
  • Chapter 2: Overview of The Holistic Approach and Book Structure
  • Part 2: Multicriteria Decision Making Models
  • Chapter 3: Multi-Criteria Decision-Making Framework For Identifying Multi-Hazard Risk Hotspots In Coastal Plains of South India
  • Chapter 4: Flood Susceptibility Mapping In The Kaljani River Basin: Insights From AHP-PROMETHEE II and AHP Methods
  • Chapter 5: Assessment of Landslide Susceptibility Along NH27 and NH627 In Assam, India Using GIS Based Multi Criteria Decision Making and Analytical Hierarchy Process
  • Chapter 6: Assessment of Groundwater Potential Zone After Rohingya Rehabilitation Using GIS and Analytic Hierarchy Process (AHP) Techniques In Ukhia Sub-District, Cox’s Bazar
  • Chapter 7: GIS-Integrated Landslide Susceptibility Mapping In Teesta River Basin of Darjeeling-Sikkim Himalaya: A Comparative Analysis of Frequency Ratio, Logistic Regression Models, and Analytical Hierarchy Process
  • Chapter 8: Spatial Assessment of Urban Resilience In The City District of Lahore Using GIS and Multicriteria Decision-Making Tools
  • Chapter 9: Integrated Geomorphological and Hydrological Analysis for Flood Hazard Assessment in the Ngawun River Basin, Ayeyarwady Region, Myanmar
  • Chapter 10: Flash Flood Susceptibility and Inundation Mapping Using Shannon's Entropy, Statistical Index, and HEC-RAS
  • Part 3: Integrated Multicriteria Decision Making Models
  • Chapter 11: An Application of MARCOS, CoCoSo, and GRA MCDM Models In A Hybrid Approach For Landslide Susceptibility Assessment In Wayanad District, Kerala (India)
  • Chapter 12: Utilizing Multicriteria Decision-Making Techniques For Computing Composite Vulnerability Over A Severely Flood-Prone Multi-Hazard Catchment
  • Chapter 13: Flood Susceptibility Modelling of Tripura, India: An Application of Preference Selection Index (PSI) and Geospatial Technology
  • Chapter 14: Socio-economic-cum-Physical Vulnerabilities To Riverine Floods Over Large Watersheds: A Comprehensive Framework By Leveraging Shannon Entropy and TOPSIS
  • Chapter 15: Enhanced Landslide Susceptibility Assessment along Transport Infrastructures Through Hybrid Ensembled Learning Techniques
  • Chapter 16: Advanced Optimization Techniques for Parameter Calibration In The DRASTIC Model: A Multi-Criteria Decision Analysis Approach To Groundwater Vulnerability Assessment
  • Chapter 17: A Hybrid Novel Ensemble of Prediction Indices For GIS-Based Flood Susceptibility Zonation
  • Chapter 18: GIS-Based Multi-Hazard Risk Analysis and Disaster Risk Reduction Planning Using Coupled Multi-Hazard Assessment Method
  • Chapter 19: Hybrid Ensemble Approaches To Landslide Susceptibility Mapping: Fusing Advanced Multi-Criteria-Decision-Making With Machine Learning In Darjeeling Himalayas
  • Part 4: Conclusion
  • Chapter 20: Shifting Paradigms: The Rise of Multi-Criteria-Decision-Making Models Over Bivariate Statistical Approaches In Hazard Risk Assessment
  • Chapter 21: Advancements In Multi-Criteria Decision-Making Models: A New Paradigm for Monitoring Flood Risks In Algeria.-Chapter 22: Usage and Future Path of MCDM For Hazard Monitoring and Risk Assessment.