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AG600 Amphibious Aircraft Selection Model Based on Improved Fuzzy Evaluation Algorithm.

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This summary is machine-generated.

This study introduces a new model for selecting the AG600 amphibious aircraft for maritime search and rescue missions. The developed interval intuitionistic fuzzy model enhances decision-making for marine life salvage operations.

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Area of Science:

  • Aviation Engineering
  • Decision Science
  • Maritime Safety

Background:

  • The selection of specialized aircraft like the AG600 for maritime search and rescue (SAR) presents unique challenges.
  • Existing selection methodologies may not adequately address the complexities of marine life salvage operations.

Purpose of the Study:

  • To address the research gap in selecting the AG600 amphibious aircraft for at-sea life salvage.
  • To develop and validate an interval intuitionistic fuzzy decision model for optimizing AG600 deployment in marine emergencies.

Main Methods:

  • Established an 8-index evaluation system based on applicability, safety, and accessibility, using questionnaires and statistical analysis.
  • Developed a 5-grade fuzzy evaluation system and membership functions to determine interval intuitionistic fuzzy numbers.
  • Employed fuzzy entropy and score functions to calculate index weights and AG600 selection scores for various accident scenarios.

Main Results:

  • A novel interval intuitionistic fuzzy selection decision model was constructed for the AG600.
  • The model scientifically and reasonably determines the matching degree of AG600 selection for marine life accidents.
  • The model's effectiveness was validated through a practical case study.

Conclusions:

  • The proposed model offers a robust framework for AG600 aircraft selection in maritime SAR.
  • This approach enhances the scientific basis for deploying the AG600 in critical marine life salvage missions.
  • The study contributes to improving the efficiency and effectiveness of marine disaster response capabilities.