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April 10, 2026Yugoslav journal of operations researchOpen Access

Classifying volunteers participated in search and rescue activities: A comparative analysis of TOPSIS-Sort and ORESTE-Sort methods

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Authors

UOUmit OzdemirGaziantep UniversitySMSuleyman MeteMGMuhammet Gul

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Implication

Comparative analysis classifies volunteer tasks via TOPSIS and ORESTE methods, highlighting efficiency implications.

Key Points

  • The research aims to categorize volunteers in search and rescue activities based on their knowledge and experience to enhance efficiency.
  • Categorization of volunteers into four groups using nine criteria from literature review.
  • Application of TOPSIS-Sort and ORESTE-Sort methods for classification.
  • Evaluation of method similarities using the Wilcoxon signed rank test.
  • Only one volunteer consistently assigned to the same class using both methods.
  • ORESTE-Sort provides more flexibility but greater complexity and sensitivity to thresholds.
  • TOPSIS-Sort is simpler but requires criterion weighting and yields a single classification.

Cite This Study

Ozdemir et al. (2026) studied this question.

synapsesocial.com/papers/69d896a46c1944d70ce08233https://doi.org/10.2298/yjor250515006o
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Spatial Decision Support System to Determine the Feasibility of Evacuation Posts in Natural Disasters2025
  2. 2Redesigning VolunteerMatch’s Search Algorithm: Toward More Equitable Access to Volunteers2025
  3. 3Redesigning VolunteerMatch’s Search Algorithm: Toward More Equitable Access to Volunteers2025
  4. 4An Artificial Intelligence Supported Decision Support System for Multi Criteria Rescuer Assignment in Disaster Response2026
  5. 5A modified TOPSIS method with rationality and consistency in ranking decision2024 · 3 citations