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Related Experiment Videos

Consensus oriented fuzzified decision support for oil spill contingency management.

Xin Liu1, Kai W Wirtz

  • 1Institute for Chemistry and Biology of the Marine Environment, Oldenburg University, Postfach 2503, 26111 Oldenburg, Germany. liu@icbm.de

Journal of Hazardous Materials
|December 14, 2005
PubMed
Summary

This study introduces a novel second-order fuzzy comprehensive evaluation (FCE) model for multi-criteria decision-making in oil spill contingency management. The approach aids in selecting optimal strategies by integrating diverse criteria and stakeholder input.

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Area of Science:

  • Environmental Management
  • Decision Science
  • Risk Assessment

Background:

  • Multi-group multi-criteria decision-making for oil spill contingency management is an emerging research area.
  • Effective management strategies are crucial for mitigating environmental and socio-economic impacts of oil spills.

Purpose of the Study:

  • To present a second-order fuzzy comprehensive evaluation (FCE) model for oil spill contingency management.
  • To provide a framework for assessing diverse oil combat strategies considering ecological and socio-economic factors.
  • To involve multiple stakeholders in the decision-making process for environmental disaster management.

Main Methods:

  • Development of a second-order fuzzy comprehensive evaluation (FCE) model.
  • Utilization of lexical information and integration of ecological and socio-economic criteria.

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  • Validation through internal sensitivity tests and external comparisons with other methods.

    • Main Results:

    • The second-order FCE model effectively handles multi-criteria decision-making in oil spill response.
    • The approach allows for the incorporation of varied stakeholder perspectives and complex criteria.
    • Case study of the Pallas oil spill demonstrates the model's utility in identifying optimal strategies.

    Conclusions:

    • The proposed second-order FCE model offers a robust solution for complex oil spill contingency problems.
    • The model has significant application potential for integrated coastal zone management.
    • This research advances decision-making frameworks for environmental disaster management.