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Decision Aid Models for Disaster Management and Emergencies

  • Book
  • © 2013

Overview

Editors:
  1. Begoña Vitoriano

    1. , Facultad de Ciencias Matemáticas, Universidad Complutense de Madrid, Madrid, Spain

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  2. Javier Montero

    1. , Dept. Of Statistics, Compulutense University, Madrid, Spain

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  3. Da Ruan

    1. Center (SCK CEN), Belgian Nuclear Research, Mol, Belgium

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  • Provides a general framework for disaster management
  • Contains various decisions analysis theories and support tools in complex systems in general and in disaster management in particular
  • Includes disaster management approaches for both natural and technological disasters
  • Includes supplementary material: sn.pub/extras

Part of the book series: Atlantis Computational Intelligence Systems (ATLANTISCIS)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. On the Use of Information in Humanitarian Operations

    • Alfonso J. Pedraza-Martinez
    Pages 1-15

  3. Decision Aid Models and Systems for Humanitarian Logistics. A Survey

    • M. T. Ortuño, P. Cristóbal, J. M. Ferrer, F. J. Martín-Campo, S. Muñoz, G. Tirado et al.
    Pages 17-44

  4. Uncertainty in Humanitarian Logistics for Disaster Management. A Review

    • F. Liberatore, C. Pizarro, C. Simón de Blas, M. T. Ortuño, B. Vitoriano
    Pages 45-74

  5. Fuzzy Inference Systems for Disaster Response

    • Basar Öztaysi, Hülya Behret, Özgür Kabak, Irem Uçal Sarı, Cengiz Kahraman
    Pages 75-94

  6. Security Based Operation in Container Line Supply Chain: a Literature Review

    • Dawei Tang, Dong-Ling Xu, Jian-Bo Yang, Yu-wang Chen
    Pages 95-115

  7. A Linguistic-Valued Information Processing Method for Fuzzy Risk Analysis

    • Li Zou, Zheng Pei, Da Ruan, Yang Xu
    Pages 117-143

  8. A Belief Rule-Based Generic Risk Assessment Framework

    • Jun Liu, Shuwei Chen, Luis Martinez, Hui Wang
    Pages 145-169

  9. Fuzzy Semantics in Closed Domain Question Answering

    • Mohammed-Amine Abchir, Isis Truck, Anna Pappa
    Pages 171-188

  10. Decision Making with Extensions of Fuzzy Sets: An Application to Disaster Management

    • H. Bustince, M. Pagola, E. Barrenechea, C. Lopez-Molina, J. Fernandez
    Pages 189-207

  11. Classification of Disasters and Emergencies under Bipolar Knowledge Representation

    • J. Tinguaro Rodríguez, Begoña Vitoriano, Daniel Gómez, Javier Montero
    Pages 209-232

  12. A Network Transshipment Model for Planning Humanitarian Relief Operations After a Natural Disaster

    • Alistair Clark, Bernadette Culkin
    Pages 233-257

  13. A Travel Behaviour Study Through Learning and Clustering of Fuzzy Cognitive Maps

    • Maikel León, Lusine Mkrtchyan, Benoît Depaire, Da Ruan, Koen Vanhoof
    Pages 259-293

  14. Fire and Explosion Safety Assessment in Container Line Supply Chain

    • Yu-wang Chen, Dong-Ling Xu, Jian-Bo Yang, Dawei Tang
    Pages 295-306

  15. A Human Situation Awareness Support System to Avoid Technological Disasters

    • Mohsen Naderpour, Jie Lu
    Pages 307-325
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Keywords

About this book

Disaster management is a process or strategy that is implemented when any type of catastrophic event takes place. The process may be initiated when anything threatens to disrupt normal operations or puts the lives of human beings at risk. Governments on all levels as well as many businesses create some sort of disaster plan that make it possible to overcome the catastrophe and return to normal function as quickly as possible. Response to natural disasters (e.g., floods, earthquakes) or technological disaster (e.g., nuclear, chemical) is an extreme complex process that involves severe time pressure, various uncertainties, high non-linearity and many stakeholders. Disaster management often requires several autonomous agencies to collaboratively mitigate, prepare, respond, and recover from heterogeneous and dynamic sets of hazards to society. Almost all disasters involve high degrees of novelty to deal with most unexpected various uncertainties and dynamic time pressures. Existing studies and approaches within disaster management have mainly been focused on some specific type of disasters with certain agency oriented. There is a lack of a general framework to deal with similarities and synergies among different disasters by taking their specific features into account. This book provides with various decisions analysis theories and support tools in complex systems in general and in disaster management in particular. The book is also generated during a long-term preparation of a European project proposal among most leading experts in the areas related to the book title. Chapters are evaluated based on quality and originality in theory and methodology, application oriented, relevance to the title of the book.

Editors and Affiliations

  • , Facultad de Ciencias Matemáticas, Universidad Complutense de Madrid, Madrid, Spain

    Begoña Vitoriano

  • , Dept. Of Statistics, Compulutense University, Madrid, Spain

    Javier Montero

  • Center (SCK CEN), Belgian Nuclear Research, Mol, Belgium

    Da Ruan

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