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Interval-valued hesitant fuzzy TODIM method for dynamic emergency responses.

Quanyu Ding1,2, Mark Goh2, Ying-Ming Wang1,3,4

  • 1Decision Sciences Institute, Fuzhou University, Fuzhou, 350116 Fujian People's Republic of China.

Soft Computing
|May 3, 2021
PubMed
Summary

This study introduces a novel method for dynamic emergency decision-making under uncertainty. The interval-valued hesitant fuzzy TODIM (IVHF-TODIM) method effectively ranks emergency alternatives, as demonstrated in a bushfire case.

Keywords:
Emergency decision makingInterval evidential reasoningInterval-valued hesitant fuzzy setsTODIM

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Area of Science:

  • Decision Sciences
  • Operations Research
  • Artificial Intelligence

Background:

  • Emergency responses are complex, characterized by uncertainty and multi-attribute decision-making challenges.
  • Existing methods may not fully capture the dynamic and uncertain nature of emergency situations.

Purpose of the Study:

  • To develop and validate a new decision-making approach for dynamic emergency situations.
  • To apply the interval evidential reasoning approach and the interval-valued hesitant fuzzy TODIM (IVHF-TODIM) method to emergency decision-making.
  • To introduce novel methods for calculating gain/loss degrees and dominance matrices.

Main Methods:

  • Utilizing the interval evidential reasoning approach and the interval-valued hesitant fuzzy TODIM (IVHF-TODIM) method.
  • Introducing a geometric area method to determine gain and loss degrees.
  • Developing a probabilistic approach for gain and loss matrices of interval belief degrees.
  • Proposing a new method for constructing the dominance degree matrix.

Main Results:

  • The IVHF-TODIM method successfully establishes overall dominance degrees for ranking decision alternatives.
  • The proposed method was validated using a real-world case study of selecting an emergency decision alternative for a large bushfire.
  • A comparative analysis was conducted to further validate the effectiveness of the proposed method.

Conclusions:

  • The developed IVHF-TODIM method provides a robust framework for dynamic emergency decision-making under uncertainty.
  • The method offers a reliable way to rank alternatives in complex, multi-attribute emergency scenarios.
  • The study contributes a novel approach to handling uncertainty and multi-attribute complexities in emergency response.