Web MCA-based Decision Support System for Incident Situations in Maritime Traffic: Case Study of Adriatic Sea (CROSBI ID 242931)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Mladineo, Nenad ; Mladineo, Marko ; Knezić, Snježana
engleski
Web MCA-based Decision Support System for Incident Situations in Maritime Traffic: Case Study of Adriatic Sea
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.
Marine Traffic ; Operations Research ; Safety ; Mapping
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Podaci o izdanju
70 (6)
2017.
1312-1334
objavljeno
0373-4633
1469-7785
10.1017/S0373463317000388
Povezanost rada
Temeljne tehničke znanosti