Cluster-based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of Multiple Target Tracks
作者： Johan Schubert
DOI:
关键词: Dempster–Shafer theory 、 Cluster based 、 Machine learning 、 Artificial intelligence 、 Intelligence analysis 、 Multiple target 、 Mathematics
摘要:
参考文章(5)
JOHAN SCHUBERT, FINDING A POSTERIOR DOMAIN PROBABILITY DISTRIBUTION BY SPECIFYING NONSPECIFIC EVIDENCE International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. ,vol. 03, pp. 163- 185 ,(1995) , 10.1142/S021848859500013X
Thomas M. Strat, Decision analysis using belief functions International Journal of Approximate Reasoning. ,vol. 4, pp. 391- 417 ,(1990) , 10.1016/0888-613X(90)90014-S
Ulla Bergsten, Johan Schubert, Dempster's rule for evidence ordered in a complete directed acyclic graph International Journal of Approximate Reasoning. ,vol. 9, pp. 37- 73 ,(1993) , 10.1016/0888-613X(93)90006-Y
Johan Schubert, Cluster-based Specification Techniques in Dempster-Shafer Theory european conference on symbolic and quantitative approaches to reasoning and uncertainty. pp. 395- 404 ,(1995) , 10.1007/3-540-60112-0_45
Johan Schubert, On nonspecific evidence International Journal of Intelligent Systems. ,vol. 8, pp. 711- 725 ,(1993) , 10.1002/INT.4550080604