{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T02:18:05Z","timestamp":1785032285178,"version":"3.55.0"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2019,12,27]],"date-time":"2019-12-27T00:00:00Z","timestamp":1577404800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7,24]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>In the past 50\u00a0years nurse scheduling has received considerable attention in the research community. There are two cases regarding the nurse scheduling problem (NSP): the static and dynamic. Dynamic NSP, is often called nurse rerostering problem (NRRP), which presents reconstruction or modification of the predetermined roster for the current scheduling horizon. The aim of this paper is to present new hybrid strategy for nurse NRRP problem. The proposed methodology is based on efficient cooperation between fuzzy logic, ordered weighted averaging and variable neighbourhood descent search. Complete system is tested, and experimental results are based on real-world dataset obtained from the Oncology Institute of Vojvodina in Serbia.<\/jats:p>","DOI":"10.1093\/jigpal\/jzz061","type":"journal-article","created":{"date-parts":[[2019,10,18]],"date-time":"2019-10-18T03:14:59Z","timestamp":1571368499000},"page":"583-595","source":"Crossref","is-referenced-by-count":6,"title":["A novel fuzzy metaheuristic approach in nurse rerostering problem"],"prefix":"10.1093","volume":"28","author":[{"given":"Svetlana","family":"Simi\u0107","sequence":"first","affiliation":[{"name":"Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 1-9, Novi Sad 21000, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emilio","family":"Corchado","sequence":"additional","affiliation":[{"name":"Departamento de Inform\u00e1tica y Autom\u00e1tica, Universidad de Salamanca, Plaza de la Merced, s\/n, Salamanca 37008, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dragan","family":"Simi\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovi\u0107a 6, Novi Sad 21000, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jovanka","family":"\u0110or\u0111evi\u0107","sequence":"additional","affiliation":[{"name":"Oncology Institute of Vojvodina, Put doktora Goldmana 4, 21208 Sremska Kamenica, Serbia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Svetislav D","family":"Simi\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovi\u0107a 6, Novi Sad 21000, 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