
This Article  
 
Share  
Bibliographic References  
Add to:  
Digg Furl Spurl Blink Simpy Del.icio.us Y!MyWeb  
Search  
 
ASCII Text  x  
Norman E. Fenton, Martin Neil, Jose Galan Caballero, "Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks," IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 10, pp. 14201432, October, 2007.  
BibTex  x  
@article{ 10.1109/TKDE.2007.1073, author = {Norman E. Fenton and Martin Neil and Jose Galan Caballero}, title = {Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks}, journal ={IEEE Transactions on Knowledge and Data Engineering}, volume = {19}, number = {10}, issn = {10414347}, year = {2007}, pages = {14201432}, doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2007.1073}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  JOUR JO  IEEE Transactions on Knowledge and Data Engineering TI  Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks IS  10 SN  10414347 SP1420 EP1432 EPD  14201432 A1  Norman E. Fenton, A1  Martin Neil, A1  Jose Galan Caballero, PY  2007 KW  Bayesian networks KW  node probability tables KW  ranked nodes KW  probability elicitation KW  risk analysis VL  19 JA  IEEE Transactions on Knowledge and Data Engineering ER   
[1] AgenaRisk Software, Agena Ltd., www.agenarisk.com, 2007.
[2] F. Cozman and E. Krotkov, “Truncated Gaussians as Tolerance Sets,” Technical Report CMURITRI, Robotics Inst., Carnegie Mellon Univ., 1997.
[3] F.J. Díez, “Parameter Adjustment in Bayes Networks: The Generalized Noisy orGate,” Proc. Ninth Ann. Conf. Uncertainty in Artificial Intelligence (UAI '93), D. Heckerman and A.Mamdani, eds., pp. 99105, 1993.
[4] M.K. Druzdzel and L.C. van der Gaag, “Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information,” Proc 11th Ann. Conf. Uncertainty in Artificial Intelligence (UAI '95), pp. 141148, Aug. 1995.
[5] 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. 481486, July/Aug. 2000.
[6] N.E. Fenton, P. Krause, and M. Neil, “Software Measurement: Uncertainty and Causal Modeling,” IEEE Software, vol. 10, no. 4, pp. 116122, 2002.
[7] N.E. Fenton, W. Marsh, M. Neil, P. Cates, S. Forey, and M. Tailor, “Making Resource Decisions for Software Projects,” Proc. 26th Int'l Conf. Software Eng. (ICSE '04), pp. 397406, May 2004.
[8] N.E. Fenton, M. Neil, P. Hearty, D. Marquez, W. Marsh, P. Krause, and R. Mishra, “Predicting Software Defects in Varying Development Lifecycles Using Bayesian Nets,” Information and Software Technology, vol. 49, no. 1, pp. 3243, 2007.
[9] D. Heckerman, A. Mamdani, and M. Wellman, “RealWorld Applications of Bayesian Networks,” Comm. ACM, vol. 38, no. 3, pp. 2526, 1995.
[10] K. Huang and M. Henrion, “Efficient SearchBased Inference for NoisyOR Belief Networks,” Proc. 12th Ann. Conf. Uncertainty in Artificial Intelligence (UAI '96), pp. 325331, 1996.
[11] Hugin Software, Hugin A/S, www.hugin.com, 2007.
[12] D. Kahneman, P. Slovic, and A. Tversky, Judgment under Uncertainty: Heuristics and Biases. Cambridge Univ. Press, 1982.
[13] D. Koller and A. Pfeffer, “ObjectOriented Bayesian Networks,” Proc. 13th Ann. Conf. Uncertainty in Artificial Intelligence (UAI '97), pp. 302313, Aug. 1997.
[14] K. Laskey, “Sensitivity Analysis for Probability Assessments in Bayesian Networks,” IEEE Trans. Systems, Man, and Cybernetics, vol. 25, no. 6, pp. 901909, June 1995.
[15] K.B. Laskey and S. Mahoney, “Network Fragments: Representing Knowledge for Constructing Probabilistic Model Networks,” Proc. 13th Ann. Conf. Uncertainty in Artificial Intelligence (UAI '98), 1998.
[16] 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. 487498, July/Aug. 2000.
[17] B. Littlewood, L. Strigini, D. Wright, N.E. Fenton, and M. Neil, “Bayesian Belief Networks for Safety Assessment of ComputerBased Systems,” System Performance Evaluation Methodologies and Applications, pp. 349364, 2000.
[18] S. Mahoney and K. Laskey, “Network Engineering for Complex Belief Networks,” Proc. 12th Ann. Conf. Uncertainty in Artificial Intelligence (UAI '96), pp. 389396, 1996.
[19] P.S. Maybeck, Stochastic Models, Estimation and Control, vol. 1. Academic Press, 1979.
[20] S. Monti and G. Carenini, “Dealing with the Expert Inconsistency in Probability Elicitation,” IEEE Trans. Knowledge and Data Eng., vol. 12, no. 4, pp. 499508, July/Aug. 2000.
[21] M. Neil, N.E. Fenton, and L. Nielsen, “Building LargeScale Bayesian Networks,” The Knowledge Eng. Rev., vol. 15, no. 3, pp.257284, 2000.
[22] 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. 1120, 2001.
[23] 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.
[24] 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.
[25] M. Neil, N.E. Fenton, and M. Tailor, “Using Bayesian Networks to Model Expected and Unexpected Operational Losses,” Risk Analysis: An Int'l J., vol. 25, no. 4, pp. 963972, 2005.
[26] J. Pearl, “Graphical Models, Causality, and Intervention,” Statistical Science, vol. 8, no. 3, pp. 266273, 1993.
[27] S. Renooij, “Probability Elicitation for Belief Networks: Issues to Consider,” The Knowledge Eng. Rev., vol. 16, no. 3, pp. 255269, 2000.
[28] M. Takikawa and B. D'Ambrosio, “Multiplicative Factorization of NoisyMax,” Proc. 15th Ann. Conf. Uncertainty in Artificial Intelligence (UAI '99), 1999.
[29] 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 CaseStudy in Oesophageal Carcinoma,” Technical Report UUCS200101, Univ. of Utrecht, Jan. 2001.
[30] L.C. van der Gaag, S. Renooija, C.L.M. Wittemana, B.M.P. Alemanb, and B.G. Taal, “Probabilities for a Probabilistic Network: A Case Study in Oesophageal Cancer,” Artificial Intelligence in Medicine, vol. 25, no. 2, pp. 123148, 2002.
[31] M.P. Wellman, “Fundamental Concepts of Qualitative Probabilistic Networks,” Artificial Intelligence, vol. 44, no. 3, pp. 257303, 1990.
[32] A. Zagorecki and M. Druzdzel, “An Empirical Study of Probability Elicitation under NoisyOR Assumption,” Proc. 17th Int'l Florida Artificial Intelligence Research Soc. Conf. (FLAIRS '04), pp. 880885, 2004.