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

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Strony
141--147
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
autor
autor
  • Gdynia Maritime University, Faculty of Navigation, Department of Navigation 81-345 Gdynia, Al. Jana Pawła II 3, weintrit@am.gdynia.pl
Bibliografia
  • 1. SHAFER G.: A Mathematical Theory of Evidence. Princeton University Press, 1976.
  • 2. DEMPSTER A.P.: Upper and lower probabilities induced by a multi-valued mapping. The Annals of Mathematical Statistics, 1967, 38(2), 325–339.
  • 3. YAGER R.R., LIU L. eds.: Classic Works of the Dempster–Shafer Theory of Belief Functions. Studies in Fuzziness and Soft Computing, 2008, vol. 219, 1–34.
  • 4. DENOEUX T.: Fuzzy Sets and Systems. Modelling vague beliefs using fuzzy valued belief structures. 1999.
  • 5. LIU J., YANG J.B., WANG J., SII H.S.: Review of uncertainty reasoning approaches as guidance for maritime and offshore safety-based assessment. Journal of UK Safety and Reliability Society, 2003, vol. 23, No. 1, 63–80.
  • 6. ZADEH L.A.: The concept of a linguistic variable and its application to approximate reasoning, Inf. Sci., 1975.
  • 7. WANG J., RUXTON T.: Design for safety. Journal of American Society of Safety Engineers, 1997, 23–29.
  • 8. MOORE A., JONES A., SIMS P., BLACKWELL G.: Integrated Coastal Zone Management’s Holistic Agency: An Ontology of Geography and GeoComputation. The 13th Annual Colloquium of the Spatial Information Research Centre, SIRC 2001, University of Otago, Dunedin 2001, New Zealand.
  • 9. FILIPOWICZ W.: An application of mathematical theory of evidence in navigation. Marine Navigation and Safety of Sea Transportation. Weintrit, A. (ed.) CRC Press/Balkema, Taylor & Francis Group, Boca Raton – London – New York – Leiden 2009, 523–531.
  • 10. FILIPOWICZ W.: Fuzzy Reasoning Algorithms for Position Fixing. Pomiary Automatyka Kontrola 2010, 12, 1491–1494.
  • 11. FILIPOWICZ W.: Mathematical Theory of Evidence in Maritime Traffic Engineering. Maritime Transport IV, Rodriguez-Martos Dauer (ed), Universitat Politecnica de Catalunya, Barcelona 2009, 593–607.
  • 12. NEUMANN T.: Problemy Wyznaczania Lokalizacji Brzegowych Stacji Obserwacyjnych. TransComp, Zakopane 2009 (in Polish).
  • 13. NEUMANN T.: Komputerowe narzędzie wspomagające analizę lokalizacji stacji obserwacyjnych rejonów morskich. Logistyka, 2010, No. 6, CD-ROM (in Polish) Expert systems based on Dempster–Shafer theory of evidence in maritime – characteristic and applications Zeszyty Naukowe 32(104) z. 2 147
  • 14. NEUMANN T.: A Simulation Environment for Modelling and Analysis of the Distribution of Shore Observatory Stations – Preliminary Results. Weintrit A., Neumann T. (ed.) Transport Systems and Processes. Marine Navigation and Safety of Sea Transportation, A Balkema Book, CRC Press, Taylor & Francis Group, Boca Raton–London–New York–Leiden 2011, 171–176.
  • 15. HALE T.S., MOBERG C.R.: Location Science Research: A Review. Annals of Operations Research, 2003, 123, Kluwer Academic Publishers, The Netherlands, 21–35.
  • 16. YAGER R.R., FEDERIZZI M., KACPRZYK J. eds.: Advances in the Dempster–Shafer Theory of Evidence. John Wiley & Sons, New York 1994.
  • 17. ZIMMERMANN H.-J.: An application-oriented view of modeling uncertainty. European Journal of Operational Research, 2000, vol. 122, 190–199.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWM7-0007-0047
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