1. B.M. Ayyub, G.J. Klir, Uncertainty Modeling and Analysis in Engineering and the Sciences. (Chapman & Hall/CRC, Boca Raton, 2006)
2. C.M. Bishop, Pattern Recognition and Machine Learning. Information Science and Statistics, 8th edn. (Springer, New York, 2009)
3. M. Daniel, Belief functions: a revision of plausibility conflict and pignistic conflict, in Scalable Uncertainty Management, ed. by D. Hutchison, T. Kanade, J. Kittler, J.M. Kleinberg, F. Mattern, J.C. Mitchell, M. Naor, O. Nierstrasz, C. Pandu Rangan, B. Steffen, M. Sudan, D. Terzopoulos, D. Tygar, M.Y. Vardi, G. Weikum, W. Liu, V.S. Subrahmanian, J. Wijsen. Lecture Notes in Computer Science, vol. 8078 (Springer, Berlin/Heidelberg, 2013), pp. 190–203
4. M. Daniel, Properties of plausibility conflict of belief functions, in Artificial Intelligence and Soft Computing, ed. by D. Hutchison, T. Kanade, J. Kittler, J.M. Kleinberg, F. Mattern, J.C. Mitchell, M. Naor, O. Nierstrasz, C. {Pandu Rangan}, B. Steffen,M. Sudan, D. Terzopoulos, D. Tygar, M.Y. Vardi, G. Weikum, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L.A. Zadeh, J.M. Zurada. Lecture Notes in Computer Science, vol. 7894 (Springer, Berlin/Heidelberg, 2013), pp. 235–246
5. M. Daniel, Conflict between belief functions: a new measure based on their non-conflicting parts, in Belief Functions: Theory and Applications, ed. by F. Cuzzolin. Lecture Notes in Computer Science, vol. 8764 (Springer, Cham, 2014), pp. 321–330