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Volumn 17, Issue 2-3, 1997, Pages 217-237

Approximation algorithms and decision making in the Dempster-Shafer theory of evidence -An empirical study

Author keywords

Approximation algorithms; Decision making; Dempster Shafer theory

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; COMPUTATIONAL COMPLEXITY; DECISION MAKING; DECISION THEORY;

EID: 0031206656     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0888-613X(97)00013-3     Document Type: Article
Times cited : (145)

References (16)
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    • Orponen, P.1
  • 9
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    • Axioms for probability and belief-function propagation
    • R. D. Shachter, T. S. Levitt, L. N. Kanal, and J. F. Lemmer, Eds., Elsevier
    • Shenoy, P., and Shafer, G., Axioms for probability and belief-function propagation, in Uncertainty in Artificial Intelligence 4 (R. D. Shachter, T. S. Levitt, L. N. Kanal, and J. F. Lemmer, Eds.), Elsevier, 169-198, 1990.
    • (1990) Uncertainty in Artificial Intelligence , vol.4 , pp. 169-198
    • Shenoy, P.1    Shafer, G.2
  • 11
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    • Belief functions versus probability functions
    • B. Bouchon, L. Saitta, and R. Yager, Eds.
    • Smets, P., Belief functions versus probability functions, in Uncertainty and Intelligent Systems, Lecture Notes in Comput. Sci. 313 (B. Bouchon, L. Saitta, and R. Yager, Eds.), 17-24, 1988.
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    • Smets, P.1
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    • Approximations for efficient computation in the theory of evidence
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  • 13
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    • A computationally efficient approximation of Dempster-Shafer theory
    • Voorbraak, F., A computationally efficient approximation of Dempster-Shafer theory, Internat. J. Man-Machine Stud. 30, 525-536, 1989.
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  • 15
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    • A Monte-Carlo algorithm for Dempster-Shafer belief
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    • Wilson, N., A Monte-Carlo algorithm for Dempster-Shafer belief, Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (B. D'Ambrosio, P. Smets, and P. Bonissone, Eds.), Univ. of Los Angeles, 414-417, 1991.
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    • Wilson, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.