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To tackle this problem, we propose a multicriteria decision support service, based on the Analytic Hierarchy Process (AHP) method, that aims to avoid overcrowding and outpacing the capacity of a hospital to effectively provide the best care to victims by finding out the most appropriate hospital that meets the victims\u2019 needs. The proposed approach searches for the most appropriate healthcare institution that can effectively deal with the victims\u2019 needs by considering the availability of the needed resources in the hospital, the victim\u2019s wait time to receive the healthcare, and the transfer time that represents the hospital proximity to the disaster site. The evaluation and validation results showed that the assignment of hospitals was done successfully considering the needs of each victim and without overwhelming any single hospital.<\/jats:p>","DOI":"10.1142\/s021962202150053x","type":"journal-article","created":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T03:52:15Z","timestamp":1630381935000},"page":"243-272","source":"Crossref","is-referenced-by-count":5,"title":["Ontology-Driven Multicriteria Decision Support for Victim Evacuation"],"prefix":"10.1142","volume":"21","author":[{"given":"Linda","family":"Elmhadhbi","sequence":"first","affiliation":[{"name":"University of Toulouse, INP-ENIT, Tarbes 65000, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed-Hedi","family":"Karray","sequence":"additional","affiliation":[{"name":"University of Toulouse, INP-ENIT, Tarbes 65000, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernard","family":"Archim\u00e8de","sequence":"additional","affiliation":[{"name":"University of Toulouse, INP-ENIT, Tarbes 65000, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. 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