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Pregled bibliografske jedinice broj: 897242

Web MCA-based Decision Support System for Incident Situations in Maritime Traffic: Case Study of Adriatic Sea


Mladineo, Nenad; Mladineo, Marko; Knezić, Snježana
Web MCA-based Decision Support System for Incident Situations in Maritime Traffic: Case Study of Adriatic Sea // Journal of navigation, 70 (2017), 6; 1312-1334 doi:10.1017/S0373463317000388 (međunarodna recenzija, članak, znanstveni)


Naslov
Web MCA-based Decision Support System for Incident Situations in Maritime Traffic: Case Study of Adriatic Sea

Autori
Mladineo, Nenad ; Mladineo, Marko ; Knezić, Snježana

Izvornik
Journal of navigation (0373-4633) 70 (2017), 6; 1312-1334

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Marine Traffic ; Operations Research ; Safety ; Mapping

Sažetak
This paper describes a Multi-Criteria-Analysis (MCA)-based Decision Support System (DSS) developed for the management of incidents in maritime traffic. The developed DSS helps to organise a large quantity of information related to the emergency management, spatial data and “live” data (radar data, weather forecasting data), to make it available to decision makers in a comprehensible and user-friendly way. Special care has been taken to model human Decision-Making (DM) processes during incident situations. Since the DM process is always multi-criterial, a Multi-Criteria Decision-Making (MCDM) method called Preference Ranking Organisation Method for Enrichment Evaluations (PROMETHEE) is used. However, a simplified variation of PROMETHEE II has been utilised to make results more understandable to non-expert users. The aim of this research is to incorporate effective DSS in human DM processes, thus reducing the possibility of making poor decisions. The concept of Web MCA-based DSS is presented as a case study: Web DSS developed for the east coast of Adriatic Sea.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne tehničke znanosti



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Fakultet građevinarstva, arhitekture i geodezije, Split

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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