LEADER 02245nas--2200505---450 001 990001042290203316 005 20240215110628.0 011 $a0272-930X 035 $a0104229 035 $aUSA010104229 035 $a(ALEPH)000104229USA01 035 $a0104229 100 $a20020319a--------km-y0itay0103----ba 101 $aeng 102 $aUS 110 $aau--------- 200 1 $aMerril-Palmer Quaterly$ejournal of developmental psychology 210 $aDetroit$cWayne State University press 215 $av.$d24 cm 410 $12001 421 1$1001-------$12001 430 1$1001-------$12001 606 0 $aPsicologia$xPeriodici 676 $a150 801 0$aIT$bsalbc$gISBD 852 $tCELDES_24 912 $a990001042290203316 948 $s332.48 958 $aLM$bII.87$c26(1980)- ; scompleto 1980 959 $aSE 969 $aUMA 979 $aPATTY$b90$c20020319$lUSA01$h1355 979 $c20020403$lUSA01$h1744 979 $aPATRY$b90$c20040406$lUSA01$h1712 979 $aPATRY$b90$c20071217$lUSA01$h1654 979 $aPATRY$b90$c20071217$lUSA01$h1655 979 $aMUSELLA$b90$c20130214$lUSA01$h1224 996 $aMerril-Palmer Quaterly$9976774 997 $aUNISA Z30 2$lUSA50$LAdministrative$mISSUE$1UMA$AUMA$3Per VI 96$5134931-30$820021125$a2002$b48$c2$f09$FNON Prestabile$hVol. 48, n. 2(2002)$i20020630$j20020730$k20030214 Z30 2$lUSA50$LAdministrative$mISSUE$1UMA$AUMA$3Per VI 96$5134931-40$820021125$a2002$b48$c3$f09$FNON Prestabile$hVol. 48, n. 3(2002)$i20020930$j20021030$k20030214 Z30 2$lUSA50$LAdministrative$mISSUE$1UMA$AUMA$3Per VI 96$5134931-50$820030214$a2002$b48$c4$f09$FNON Prestabile$hVol. 48, n. 4(2002)$i20021231$j20030130$k20030214 Z30 2$lUSA50$LAdministrative$mISSUE$1UMA$AUMA$3Per VI 96$5134931-60$820030214$a2003$b49$c1$f09$FNON Prestabile$hVol. 49, n. 1(2003)$i20030331$j20030430 Z30 2$lUSA50$LAdministrative$mISSUE$1UMA$AUMA$3Per VI 96$6158181$5134931-10$820020703$a2001$b47$c4$f09$FNON Prestabile$hVol. 47, n. 1-4(2001)$i20011231$j20020130$k20020703 Z30 2$lUSA50$LAdministrative$mISSUE$1UMA$AUMA$3Per VI 96$6165959$5134931-20$820020703$a2002$b48$c1$f09$FNON Prestabile$hVol. 48, n. 1(2002)$i20020331$j20020430$k20030212 LEADER 07331nam 22005895 450 001 9911011351803321 005 20250614130242.0 010 $a3-031-89246-1 024 7 $a10.1007/978-3-031-89246-2 035 $a(MiAaPQ)EBC32156824 035 $a(Au-PeEL)EBL32156824 035 $a(CKB)39300710000041 035 $a(OCoLC)1524420059 035 $a(DE-He213)978-3-031-89246-2 035 $a(EXLCZ)9939300710000041 100 $a20250614d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProgress in Multicriteria Decision Making Models $eA New Paradigm to Monitor Hazards /$fedited by Jayanta Das, Somenath Halder 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (679 pages) 225 1 $aAdvances in Geographic Information Science,$x1867-2442 311 08$a3-031-89245-3 327 $aPart 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. 330 $aThis 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.