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Volumn , Issue , 2009, Pages 357-366

Interpretation and computation of α-junctions for combining belief functions

Author keywords

Belief functions; Dempster shafer theory; Information fusion; Transferable belief model; Uncertain reasoning

Indexed keywords

BELIEF FUNCTION; DEMPSTER'S RULE; DEMPSTER-SHAFER; LINEAR OPERATORS; NEUTRAL ELEMENTS; TRANSFERABLE BELIEF MODEL; UNCERTAIN REASONING;

EID: 84883207032     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (17)
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    • Dempster, A. P.: Upper and lower probabilities induced by a multivalued mapping. Ann. Math. Statistics 38, 325-339 (1967).
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  • 2
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    • Conjunctive and disjunctive combination of belief functions induced by non distinct bodies of evidence
    • Denoeux, T.: Conjunctive and Disjunctive Combination of Belief Functions Induced by Non Distinct Bodies of Evidence. Artificial Intelligence 172, 234-264 (2008).
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  • 3
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    • A set-theoretic view of belief functions: Logical operations and approximations by fuzzy sets
    • Dubois, D., Prade, H.: A set-theoretic view of belief functions: logical operations and approximations by fuzzy sets. Int. J. Gen Syst 12(3), 193-226 (1986).
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    • Dubois, D.1    Prade, H.2
  • 5
    • 0041584622 scopus 로고
    • The dynamic of belief in the transferable belief model and specialization generalization matrices
    • In: Dubois, D. Wellman, M.P. D'Ambrosio, B. Smets, Ph. (eds.), Morgan Kaufmann, San Meteo, CA
    • Klawonn, F., Smets, Ph.: The dynamic of belief in the transferable belief model and specialization generalization matrices. In: Dubois, D., Wellman, M.P., D'Ambrosio, B., Smets, Ph. (eds.) Proceedings of the 8th conference on Uncertainty in Artificial Intelligence, pp 130-137. Morgan Kaufmann, San Meteo, CA (1992).
    • (1992) Proceedings of the 8th Conference on Uncertainty in Artificial Intelligence , pp. 130-137
    • Klawonn, F.1    Smets, Ph.2
  • 9
    • 0003106837 scopus 로고
    • Belief functions: The disjunctive rule of combination and the generalized bayesian theorem
    • Smets, Ph.: Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem. Int. J. Approx. Reasoning 9, 1-35 (1993).
    • (1993) Int. J. Approx. Reasoning , vol.9 , pp. 1-35
    • Smets, Ph.1
  • 10
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    • The canonical decomposition of a weighted belief
    • on Artificial Intelligence, San Mateo, USA, Morgan Kaufmann
    • Smets, Ph.: The canonical decomposition of a weighted belief. In: Proceedings of the 14th Int. Joint Conf. on Artificial Intelligence, San Mateo, USA, pp 1896-1901. Morgan Kaufmann (1995).
    • (1995) Proceedings of the 14th Int. Joint Conf. , pp. 1896-1901
    • Smets, Ph.1
  • 11
    • 84947764442 scopus 로고    scopus 로고
    • The α-junctions: Combination operators applicable to belief functions
    • In: Gabbay, D.M. Kruse, R. Nonnengart, A. Ohlbach, H.J. (eds.), Proc. of the 1st Int., Germany. Lecture Notes in Computer Science, Springer
    • Smets, Ph.: The α-junctions: combination operators applicable to belief functions. In: Gabbay, D.M., Kruse, R., Nonnengart, A., Ohlbach, H.J. (eds.), Proc. of the 1st Int. Joint Conf. on Qualitative and Quantitative Practical Reasoning, Bad Honnef, Germany. Lecture Notes in Computer Science, vol. 1244, pp 131-153. Springer (1997).
    • (1997) Joint Conf. on Qualitative and Quantitative Practical Reasoning, Bad Honnef , vol.1244 , pp. 131-153
    • Smets, Ph.1
  • 12
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    • The transferable belief model for quantified belief representation
    • In: Gabbay, D. M. Smets, Ph. (eds.), Kluwer
    • Smets, Ph.: The Transferable Belief Model for quantified belief representation. In: Gabbay, D. M., Smets, Ph. (eds.), Handbook of Defeasible Reasoning and Uncertainty Management Systems, vol. 1, pp 267-301. Kluwer (1998).
    • (1998) Handbook of Defeasible Reasoning and Uncertainty Management Systems , vol.1 , pp. 267-301
    • Smets, Ph.1
  • 13
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    • The application of the matrix calculus to belief functions
    • Smets, Ph.: The application of the matrix calculus to belief functions. Int. J. Approximate Reasoning 31(1-2), 1-30 (2002).
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  • 15
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    • Analyzing the combination of conflicting belief functions
    • Smets, Ph.: Analyzing the combination of conflicting belief functions. Information Fusion 8(4), 387-412 (2007).
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.