Cluster-based specification techniques in Dempster-Shafer theory

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 946, Issue , 1995, Pages 395-404

  Schubert, Johan ^a  

^a SWEDISH DEFENCE RESEARCH AGENCY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

PROBABILISTIC LOGICS; PROBABILITY DISTRIBUTIONS; UNCERTAINTY ANALYSIS;

CLUSTER-BASED; CRITERION FUNCTIONS; DEMPSTER-SHAFER THEORY; REASONING WITH UNCERTAINTY;

SET THEORY;

EID: 84957371093     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-60112-0_45     Document Type: Conference Paper

References (6)

1. J. Schubert, On nonspecific evidence, Int. J. Intell. Syst. 8 (1993) 711-725.
2. A.P. Dempster, A generalization of Bayesian inference, J. R. Stat. Soc. Sen B 30 (1968) 205-247.
3. G. Shafer, A Mathematical Theory of Evidence. Princeton University, Princeton, 1976.
4. U. Bergsten, and J. Schubert, Dempster's rule for evidence ordered in a complete directed acyclic graph, Int. J. Approx. Reason. 9 (1993) 37-73.
5. J.D. Lowrance and T.D. Garvey, Evidential Reasoning: An implementation for multisensor integration, Technical Note 307, SRI International, Menlo Park, CA, 1983.
6. 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, Royal Institute of Technology, Stockholm, Sweden, 1994, ISBN 91-7170-801-4.