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Expert systems based on Dempster–Shafer theory of evidence in maritime – characteristic and applications

Neumann T., Weintrit A.

Zeszyty Naukowe / Akademia Morska w Szczecinie

2012

nr 32 (104) z. 2

141-147

The paper presents the usage of mathematical theory of evidence in maritime and offshore applications. This paper brings together a collection of some research on the Dempster–Shafer theory of belief functions. By bridging fuzzy logic and probabilistic reasoning, the theory of belief functions has become a primary tool for knowledge representation and uncertainty reasoning in expert systems. This paper can serve as the authoritative reference in the field of evidential reasoning and an important archival reference in a wide range of areas including uncertainty reasoning in artificial intelligence and decision making in maritime and offshore applications, in management, engineering and transport, in marine shipping, coastal management, navigation, surveillance, monitoring and observation. In particular the paper describes uncertainty reasoning approaches to decision making in maritime and offshore applications, possible applications in safety-based assessment, Coastal Management Expert System, mathematical theory of evidence in marine navigation, the optimisation problem of monitoring stations distribution and finally the facility location and location science.

A Simulation Environment for Modelling and Analysis of the Distribution of Shore Observatory Stations - Preliminary Results

Neumann T.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2011

Vol. 5, no. 4

555--560

The paper has presented the usage of mathematical theory of evidence in evaluating of the pos-sibility of object detection by monitoring radar stations. The level of object detection allows for effortless conversion to optimisation problem of monitored area coverage. Development of such task enables such dis-tribution of observatory stations that maintains the detection rate higher than the assumed value. An appropri-ate rate level is achieved by covering the analysed set of points with sufficient number of radar stations. Combining evidence allows for calculating corresponding parameters for each set of observing equipment.