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Smart Simulation for Decision Support at Headquarters

Theory of Situation Awareness in Dynamic Systems ”, In: Human Factors 37.1, 32–64, 1995. [5] Auger, Gouin, Roy & DRDC Valcartier, Decision Support and knowledge exploitation technologies for C4ISR, 2006. [6] Maess P., Artificial life meets entertainment: Life like autonomous agents , Communications of the ACM, Vol. 38, No. 11, pp. 108-114, 1995. [7] Boyd, John, R., The Essence of Winning, and Losing , 28 June 1995, available at . [8] Chen Miao, Zhu Qiuming and Chen Zhengxin, An Integrated Interactive

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Comparison of Software Decision Support Systems for Solving a Multicriteria Optimization Problem

References 1. Eom, S. B., S. M. Lee, E. B. Kim, C. Somarajan. A Survey of Decision Support System Applications (1988-1994). – Journal of Operational Research Society, Vol. 49 , 1998, No 2, pp. 109-120. 2. Steuer, R. Multiple Criteria Optimization: Theory, Computation and Applications. New York, John Wiley & Sons, 1986. 3. Vetschera, R. McView: An Integrated Graphical System to Support Multi-Attribute Decisions. – Decision Support Systems, Vol. 11 , 1994, pp. 363-371. 4. Keeney, R., H. Raiffa. Decisions with Multiple Objectives. NewYork

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Developing A Decision Support System For Project Management In Universities

REFERENCES 1. Turban, E.; Aronson, J.E., Decision Support Systems and Intelligent Systems , 6 th edition, Prentice Hall, NJ, 2001Power, Daniel J., Sharda, Ramesh, Decision Support Systems, Springer Handbook of Automation, pp 1539-1548, Springer Berlin Heidelberg, (2009) 2. Bolloju Narasimha, Khalifa Mohamed, Turban Efraim, Integrating knowledge management into enterprise environments, Decision Support Systems Vol.33, pp. 163– 176, (2002) 3. Power, D. J. (2002). Decision support systems: concepts and resources for managers. Westport, Conn., Quorum

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Radiation methods in decision support system for food safety

References 1. Cioca, M., & Cioca, L. (2010). Decision support systems used in disaster management. Chiang S. Jao (Ed.), Decision support systems. InTech, from InTech Open Science, DOI: 10.5772/39452. 2. Scalan, E., Hoekstra, R. M., Angulo F. J., Tauxe, R. V., Widdowson, M. A., Roy, S. L., Jones, J. L., & Griffin, P. M. (2011). Foodborne illness acquired in the United States - major pathogens. Emerg. Infect. Dis., 17, 7

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Structure of a decision support subsystem in real estate management

Polonorum, Oeconomia 9 (2): 83-96. Renigier-Biłozor, M., Wiśniewski, R (2012). The Effectiveness of Real Estate Market Participants.European Spatial Research and Policy19 (1): 95-110. Rutkowski, L. (2009). Metody i techniki sztucznej inteligencji. Warszawa: Wydawnictwo Naukowe PWN. Simon, H. (1997). The New Science of Managenet deccision. Englewood Cliffs N.J. Słowiński, R. (1992). Intelligent Decision Support. Handbook of Applications and Advances of the Rough Sets Theory. Dordrecht: Kluwer Academic Publishers

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Data fusion in a navigational decision support system on a sea-going vessel

intelligent transport systems. Communications in Computer and Information Science, series No. 104, Springer, Berlin 2011 (455-462) 13. Pietrzykowski Z., Borkowski P., Wołejsza P.: Marine integrated navigational decision support system. Communications in Computer and Information Science, series No. 329, Springer, Berlin 2012 (284-292) 14. Sroka R.: Data fusion methods in measurements of road traffic parameters (in Polish) . AGH University of Science and Technology, Cracow 2008 15. Sun S.: Multi-sensor optimal information

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A Decision Support System Inferring the Genotypes of Seed Trees From Open Pollinated Progenies

References BONCZEK, R. H., HOLSAPPLE, C. W., WHINSTON, A. B. (1983): The evolving role of models in decision support systems. In: HOUSE, W. C. (Ed.). Decision Support Systems. Petrocelli, New York, pp. 343-370. BROWN, A. H. D., ALLARD, R.W. (1970): Estimation of the mating system in open-pollinated maize populations using isozyme polymorphisms. Genetics 66, 133-145. BROWN, A. H. D., MATHESON, A. C., ELDRIDGE, K. G. (1975): Estimation of the mating system of Eucalyptus obligua L’Herit. by using allozyme

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Design and development of an interactive mobile-based decision support system for selecting higher education studies

References Bloch, J. (2008). Effective Java (2nd edition), Addison-Wesley. Field, S. (1996). 100 best careers for the 21st Century, NY: Macmillan, Arco. Golfarelli, M., and Rizzi, S. (2009). Data warehouse design: Modern principles and methodologies. NY: McGraw-Hill, Inc. Griffiths, A.J.F. (2015). Head first android development. O'Reilly-Media. Kostoglou, V., Ploskas, N., Vassilakopoulos, M. and Tsantopoulou, V.-E. (2014). Analysis and design of a web-based decision support system

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Decision support system for collision avoidance at sea

-302. 13. Lisowski J.: Multi-step matrix game with the risk of ship collision . In C.A. Brebbia (Ed), Risk Analysis IV: Simulation and Hazard Mitigation, WIT Press Computational Mechanics Inc., Southampton-Boston, 2004, p. 669-680. 14. Pietrzykowski Z., Uriasz J..: Knowledge Representation in a Ship’s Navigational Decision Support System. TransNav - International Journal of Marine Navigation and Safety of Sea Transportation, Vol.4, No.3, 2010, p. 265-270. 15. Zhuo Y., Hearn G.E.: a ship based intelligent anti-collision decision

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Decision support systems in Slovak forestry planning: a review / Systémy na podporu rozhodovania v lesníckom plánovaní na Slovensku: prehľad

., Garcia-Gonzalo, J., Hujala, T., Trasobares, A., 2014: Computer-based tools for supporting forest management. The experience and the expertise world-wide. Report of Cost Action FP 0804 Forest Management Decision Support Systems. FORSYS. Swedish University of Agricultural Sciences, 503 p. Available at: Fabrika, M., 2002: Multifunctional optimisation of stand tending by SDSS and growth modelling. In: Management and modelling multifunctional forest enterprises and properties : international symposium. Sopron, Hungary

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