메뉴 건너뛰기




Volumn 19, Issue 10, 2007, Pages 1420-1432

Using ranked nodes to model qualitative judgments in bayesian networks

Author keywords

Bayesian networks; Node probability tables; Probability elicitation; Ranked nodes; Risk analysis

Indexed keywords

CONSTRAINT THEORY; PROBABILITY; PROBLEM SOLVING; RISK ANALYSIS;

EID: 34648846066     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2007.1073     Document Type: Article
Times cited : (190)

References (32)
  • 1
    • 34648825117 scopus 로고    scopus 로고
    • AgenaRisk Software
    • AgenaRisk Software, Agena Ltd., www.agenarisk.com, 2007.
    • (2007) Agena Ltd
  • 2
    • 34648828313 scopus 로고    scopus 로고
    • Truncated Gaussians as Tolerance Sets
    • Robotics Inst, Carnegie Mellon Univ
    • F. Cozman and E. Krotkov, "Truncated Gaussians as Tolerance Sets," Technical Report CMU-RI-TRI, Robotics Inst, Carnegie Mellon Univ., 1997.
    • (1997) Technical Report CMU-RI-TRI
    • Cozman, F.1    Krotkov, E.2
  • 3
    • 0003054847 scopus 로고
    • Parameter Adjustment in Bayes Networks: The Generalized Noisy OR-Gate
    • D. Heckerman and A. Mamdani, eds, pp
    • F.J. Diez, "Parameter Adjustment in Bayes Networks: The Generalized Noisy OR-Gate," Proc. Ninth Ann. Conf. Uncertainty in Artificial Intelligence (UAI '93), D. Heckerman and A. Mamdani, eds., pp. 99-105, 1993.
    • (1993) Proc. Ninth Ann. Conf. Uncertainty in Artificial Intelligence (UAI '93) , pp. 99-105
    • Diez, F.J.1
  • 5
    • 85008015613 scopus 로고    scopus 로고
    • Building Probabilistic Networks: Where Do the Numbers Come From
    • July/Aug
    • M.K. Druzdzel and L.C. van der Gaag, "Building Probabilistic Networks: Where Do the Numbers Come From," IEEE Trans. Knowledge and Data Eng., vol. 12, no. 4, pp. 481-486, July/Aug. 2000.
    • (2000) IEEE Trans. Knowledge and Data Eng , vol.12 , Issue.4 , pp. 481-486
    • Druzdzel, M.K.1    van der Gaag, L.C.2
  • 6
    • 0036642013 scopus 로고    scopus 로고
    • Software Measurement: Uncertainty and Causal Modeling
    • N.E. Fenton, P. Krause, and M. Neil, "Software Measurement: Uncertainty and Causal Modeling," IEEE Software, vol. 10, no. 4, pp. 116-122, 2002.
    • (2002) IEEE Software , vol.10 , Issue.4 , pp. 116-122
    • Fenton, N.E.1    Krause, P.2    Neil, M.3
  • 9
    • 0002494175 scopus 로고
    • Real-World Applications of Bayesian Networks
    • D. Heckerman, A. Mamdani, and M. Wellman, "Real-World Applications of Bayesian Networks," Comm. ACM, vol. 38, no. 3, pp. 25-26, 1995.
    • (1995) Comm. ACM , vol.38 , Issue.3 , pp. 25-26
    • Heckerman, D.1    Mamdani, A.2    Wellman, M.3
  • 11
    • 34648822831 scopus 로고    scopus 로고
    • Hugin Software
    • Hugin Software, Hugin A/S, www.hugin.com, 2007.
    • (2007) Hugin A/S
  • 14
    • 0029322870 scopus 로고
    • Sensitivity Analysis for Probability Assessments in Bayesian Networks
    • June
    • K. Laskey, "Sensitivity Analysis for Probability Assessments in Bayesian Networks," IEEE Trans. Systems, Man, and Cybernetics, vol. 25, no. 6, pp. 901-909, June 1995.
    • (1995) IEEE Trans. Systems, Man, and Cybernetics , vol.25 , Issue.6 , pp. 901-909
    • Laskey, K.1
  • 16
    • 0034215587 scopus 로고    scopus 로고
    • Network Engineering for Agile Belief Network Models
    • July/Aug
    • K.B. Laskey and S.M. Mahoney, "Network Engineering for Agile Belief Network Models," IEEE Trans. Knowledge and Data Eng., vol 12, no. 4, pp. 487-498, July/Aug. 2000.
    • (2000) IEEE Trans. Knowledge and Data Eng , vol.12 , Issue.4 , pp. 487-498
    • Laskey, K.B.1    Mahoney, S.M.2
  • 20
    • 0034215459 scopus 로고    scopus 로고
    • Dealing with the Expert Inconsistency in Probability Elicitation
    • July/Aug
    • S. Monti and G. Carenini, "Dealing with the Expert Inconsistency in Probability Elicitation," IEEE Trans. Knowledge and Data Eng., vol. 12, no. 4, pp. 499-508, July/Aug. 2000.
    • (2000) IEEE Trans. Knowledge and Data Eng , vol.12 , Issue.4 , pp. 499-508
    • Monti, S.1    Carenini, G.2
  • 21
    • 0034262298 scopus 로고    scopus 로고
    • Building Large-Scale Bayesian Networks
    • M. Neil, N.E. Fenton, and L. Nielsen, "Building Large-Scale Bayesian Networks," The Knowledge Eng. Rev., vol. 15, no. 3, pp. 257-284, 2000.
    • (2000) The Knowledge Eng. Rev , vol.15 , Issue.3 , pp. 257-284
    • Neil, M.1    Fenton, N.E.2    Nielsen, L.3
  • 22
    • 0035249668 scopus 로고    scopus 로고
    • M. Neil, N.E. Fenton, S. Forey, and R. Harris, Using Bayesian Belief Networks to Predict the Reliability of Military Vehicles, IEE Computing and Control Eng. J., 12, no. 1, pp. 11-20, 2001.
    • M. Neil, N.E. Fenton, S. Forey, and R. Harris, "Using Bayesian Belief Networks to Predict the Reliability of Military Vehicles," IEE Computing and Control Eng. J., vol. 12, no. 1, pp. 11-20, 2001.
  • 23
    • 34648822830 scopus 로고    scopus 로고
    • Modelling an Air Traffic Control Environment Using Bayesian Belief Networks
    • Aug
    • M. Neil, B. Malcolm, and R. Shaw, "Modelling an Air Traffic Control Environment Using Bayesian Belief Networks," Proc. 21st Int'l System Safety Conf., Aug. 2003.
    • (2003) Proc. 21st Int'l System Safety Conf
    • Neil, M.1    Malcolm, B.2    Shaw, R.3
  • 24
    • 34648830638 scopus 로고    scopus 로고
    • Software Quality Prediction Using Bayesian Networks in Software Engineering with Computational Intelligence. Kluwer Int'l Series in Eng. and Computer
    • M. Neil, P. Krause, and N. Fenton, Software Quality Prediction Using Bayesian Networks in Software Engineering with Computational Intelligence. Kluwer Int'l Series in Eng. and Computer Science, vol. 731, 2003.
    • (2003) Science , vol.731
    • Neil, M.1    Krause, P.2    Fenton, N.3
  • 25
    • 27644580886 scopus 로고    scopus 로고
    • Using Bayesian Networks to Model Expected and Unexpected Operational Losses
    • M. Neil, N.E. Fenton, and M. Tailor, "Using Bayesian Networks to Model Expected and Unexpected Operational Losses," Risk Analysis: An Int'l ]., vol. 25, no. 4, pp. 963-972, 2005.
    • (2005) Risk Analysis: An Int'l ] , vol.25 , Issue.4 , pp. 963-972
    • Neil, M.1    Fenton, N.E.2    Tailor, M.3
  • 26
    • 84972538789 scopus 로고
    • Graphical Models, Causality, and Intervention
    • J. Pearl, "Graphical Models, Causality, and Intervention," Statistical Science, vol. 8, no. 3, pp. 266-273, 1993.
    • (1993) Statistical Science , vol.8 , Issue.3 , pp. 266-273
    • Pearl, J.1
  • 27
    • 0037871273 scopus 로고    scopus 로고
    • Probability Elicitation for Belief Networks: Issues to Consider
    • S. Renooij, "Probability Elicitation for Belief Networks: Issues to Consider," The Knowledge Eng. Rev., vol. 16, no. 3, pp. 255-269, 2000.
    • (2000) The Knowledge Eng. Rev , vol.16 , Issue.3 , pp. 255-269
    • Renooij, S.1
  • 29
    • 10044291930 scopus 로고    scopus 로고
    • Probabilities for a Probabilistic Network: A Case-Study in Oesophageal Carcinoma
    • Technical Report UU-CS-2001-01, Univ. of Utrecht, Jan
    • L.C van der Gaag, S. Renooij, C.L.M. Witteveen, B.M.P. Aleman, and B.G. Taal, "Probabilities for a Probabilistic Network: A Case-Study in Oesophageal Carcinoma," Technical Report UU-CS-2001-01, Univ. of Utrecht, Jan. 2001.
    • (2001)
    • van der Gaag, L.C.1    Renooij, S.2    Witteveen, C.L.M.3    Aleman, B.M.P.4    Taal, B.G.5
  • 31
    • 0025471633 scopus 로고
    • Fundamental Concepts of Qualitative Probabilistic Networks
    • M.P. Wellman, "Fundamental Concepts of Qualitative Probabilistic Networks," Artificial Intelligence, vol. 44, no. 3, pp. 257-303, 1990.
    • (1990) Artificial Intelligence , vol.44 , Issue.3 , pp. 257-303
    • Wellman, M.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.