Author details

João Nunes\*, Mirko Barbosa, Luiz Silva, Kyller Gorgônio, Hyggo Almeida and Angelo Perkusich Federal University of Campina Grande, Paraíba, Brazil

References

[1] Fenton NE, Neil M, Caballero JG. Using ranked nodes to model qualitative judgments in Bayesian networks. IEEE Transactions on Knowledge and Data Engineering. 2007;19(10):1420-1432

DOI: http://dx.doi.org/10.5772/intechopen.81602

[10] Kahneman D, Tversky A. The Simulation Heuristic. No. TR-5. Stanford Univ CA Dept of Psychology;

[11] Chin K-S et al. Assessing new product development project risk by Bayesian network with a systematic probability generation methodology. Expert Systems with Applications.

[12] Ben-Gal I. Bayesian networks. Encyclopedia of statistics in quality and

[14] Pearl J, Russell S. Bayesian

USA: MIT Press. 1998:149-153

[13] Friedman N, Geiger D, Goldszmidt M. Bayesian network classifiers. Machine Learning. 1997;29(2–3):

networks. In: Handbook of Brain Theory and Neural Networks. Cambridge, MA,

[15] Freire A et al. A Bayesian networksbased approach to assess and improve the teamwork quality of agile teams. Information and Software Technology.

[16] Tversky A, Kahneman D. Judgment under uncertainty: Heuristics and biases. Science. 1974;185(4157):

[17] Renooij S. Probability elicitation for belief networks: Issues to consider. The Knowledge Engineering Review. 2001;

[18] Chesley GR. Subjective probability elicitation techniques: A performance comparison. Journal of Accounting Research. 1978;16(2):225-241

[19] Renooij S, Witteman C. Talking Probabilities: Communicating

Probabilistic Information with Words

2009;36(6):9879-9890

reliability. 2008;1

2018;100:119-132

1124-1131

16(3):255-269

131-163

1981

Issues in the Probability Elicitation Process of Expert-Based Bayesian Networks

[2] Perkusich M et al. A procedure to detect problems of processes in software development projects using Bayesian networks. Expert Systems with Applications. 2015;42(1):437-450

[3] Perkusich M et al. Assisting the continuous improvement of scrum projects using metrics and bayesian networks. Journal of Software:

[4] Lee E, Park Y, Shin JG. Large engineering project risk management using a Bayesian belief network. Expert Systems with Applications. 2009;36(3):

5880-5887

1998. pp. 301-354

2004

25

Evolution and Process. 2017;29(6):e1835

[5] De Melo ACV, Sanchez AJ. Software maintenance project delays prediction using Bayesian networks. Expert Systems with Applications. 2008;34(2):908-919

[6] Heckerman D. A tutorial on learning with Bayesian networks. In: Learning in Graphical Models. Dordrecht: Springer;

[7] Constantinou A, Fenton N. Towards smart-data: Improving predictive accuracy in long-term football team performance. Knowledge-Based Systems. 2017;124:93-104

[8] Das B. Generating conditional probabilities for Bayesian networks: Easing the knowledge acquisition problem. arXiv preprint cs/0411034;

[9] Tversky A, Kahneman D. Availability: A heuristic for judging frequency and probability. Cognitive Psychology. 1973;5(2):207-232

\*Address all correspondence to: joaobatista@copin.ufcg.edu.br

© 2018 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Issues in the Probability Elicitation Process of Expert-Based Bayesian Networks DOI: http://dx.doi.org/10.5772/intechopen.81602
