Specifying nonspecific evidence

International Journal of Intelligent Systems

Volumn 11, Issue 8, 1996, Pages 525-563

  Schubert, Johan ^a  

^a SWEDISH DEFENCE RESEARCH AGENCY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; INFORMATION THEORY; SET THEORY; SYSTEMS ANALYSIS;

NONSPECIFIC EVIDENCE; REASONING;

LEARNING SYSTEMS;

EID: 0030211528     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/(sici)1098-111x(199608)11:8<525::aid-int2>3.0.co;2-n     Document Type: Article

References (15)

1. U. Bergsten and J. Schubert, "Dempster's rule for evidence ordered in a complete directed acyclic graph," Int. Approx. Reason., 9, 37-73 (1993).
2. J. Schubert, "On p in a decision-theoretic apparatus of Dempster-Shafer theory," Int. J. Approx. Reason., 13, 185-200 (1995).
3. J.D. Lowrance and T.D. Garvey, Evidential Reasoning: An Implementation for Multisensor Integration. Technical Note 307, Artificial Intelligence Center, Computer Science and Technology Division, SRI International, Menlo Park, CA, 1983.
4. J. Schubert, "On nonspecific evidence," Int. J. Intell. Syst., 8, 711-725 (1993).
5. A.P. Dempster, "A generalization of Bayesian inference," J. R. Stat. Soc. Ser. B, 30, 205-247 (1968).
6. G. Shafer, A Mathematical Theory of Evidence, Princeton University Press, Princeton, NJ, 1976.
7. G. Shafer, "Perspectives on the theory and practice of belief functions," Int. J. Approx. Reason., 4, 323-362 (1990).
8. G. Shafer, "Rejoinders to comments on 'Perspectives on the theory and practice of belief functions'," Int. J. Approx. Reason., 6, 445-480 (1992).
9. R.Y. Yager, M. Fedrizzi, and J. Kacprzyk (Eds.), Advances in the Dempster-Shafer Theory of Evidence, Wiley, New York, 1994.
10. J.D. Lowrance, T.D. Garvey, and T.M. Strat, "A framework for evidential-reasoning systems," in Proceedings of the Fifth National Conference on Artificial Intelligence, Philadelphia, PA, 1986, pp. 896-901.
11. N.R. Pal, J.C. Bezdek, and R. Hemasinha, "Uncertainty Measures for evidential reasoning I: A review," Int. J. Approx. Reason., 7, 165-183 (1992).
12. N.R. Pal, J.C. Bezdek, and R. Hemasinha, "Uncertainty measures for evidential reasoning II: A new measure of total uncertainty," Int. J. Approx. Reason., 8, 1-16 (1993).
13. J. Schubert, "Finding a posterior domain probability distribution by specifying nonspecific evidence," Int. J. Uncertainty, Fuzziness and Knowledge-Based Syst., 3, 163-185 (1995).
14. J. Schubert, "Cluster-based specification techniques in Dempster-Shafer theory for an evidential intelligence analysis of multiple target tracks," Ph.D. Thesis, TRITA-NA-9410, Department of Numerical Analysis and Computing Science, Royal Institute of Technology, Stockholm, 1994, ISBN 91-7170-801-4.
15. J. Schubert, "Cluster-based specification techniques in Dempster-Shafer theory," in Symbolic and Quantitative Approaches to Reasoning and Uncertainty, C. Froidevaux and J. Kohlas (Eds.), Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Springer-Verlag (LNAI 946), Berlin, 1995, pp. 395-404.