Z. W. Birnbaum, On Random Variables with Comparable Peakedness, The Annals of Mathematical Statistics, vol.19, issue.1, pp.76-81, 1948.
DOI : 10.1214/aoms/1177730293

S. Bodjanova, Granulation of a fuzzy set: Nonspecificity, Information Sciences, vol.177, issue.20, pp.4430-4444, 2007.
DOI : 10.1016/j.ins.2007.04.003

J. Canny, A computational approach to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.679-698, 1986.

D. Cooman and D. Aeyels, Supremum-preserving upper probabilities, Information Sciences, vol.118, pp.173-212, 1999.

R. Deriche, Using Canny's criteria to derive a recursively implemented optimal edge detector, International Journal of Computer Vision, vol.1, issue.2, pp.167-187, 1987.
DOI : 10.1007/BF00123164

D. Dubois, Possibility theory and statistical reasoning, Computational Statistics & Data Analysis, vol.51, issue.1, pp.47-69, 2006.
DOI : 10.1016/j.csda.2006.04.015

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.6983

D. Dubois and E. Hüllermeier, Comparing probability measures using possibility theory: A notion of relative peakedness, International Journal of Approximate Reasoning, vol.45, issue.2, 2006.
DOI : 10.1016/j.ijar.2006.06.017

D. Dubois and H. Prade, La th??orie des possibilit??s, Revue de l'Electricit?? et de l'Electronique, vol.-, issue.07, 1988.
DOI : 10.3845/ree.2006.059

D. Dubois and H. Prade, When upper probabilities are possibility measures . Fuzzy Sets and Systems, pp.65-74, 1992.
DOI : 10.1016/0165-0114(92)90110-p

D. Dubois and H. Prade, Fuzzy sets and probability: misunderstandings, bridges and gaps, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems, pp.1059-1068, 1993.
DOI : 10.1109/FUZZY.1993.327367

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.3581

D. Dubois, H. Prade, L. Foulloy, and G. Mauris, Probability-Possibility Transformations, Triangular Fuzzy Sets, and Probabilistic Inequalities, Reliable Computing, vol.10, issue.4, pp.273-297, 2004.
DOI : 10.1023/B:REOM.0000032115.22510.b5

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.6216

D. Dubois, H. Prade, and S. Sandri, On Possibility/Probability Transformations, Fuzzy Logic. State of the Art, pp.103-112, 1993.
DOI : 10.1007/978-94-011-2014-2_10

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.3212

D. Dubois, H. Prade, and P. Smets, New Semantics for Quantitative Possibility Theory, International Symposium On Imprecise Probabilities and Their Applications, 2001.
DOI : 10.1007/3-540-44652-4_36

R. Formiconi, A. Pupi, and A. Passeri, Compensation of spatial system response in SPECT with conjugate gradient reconstruction technique, Physics in Medicine and Biology, vol.34, issue.1, pp.69-84, 1989.
DOI : 10.1088/0031-9155/34/1/007

F. Jacquey, K. Loquin, F. Comby, and O. Strauss, Non-Additive Approach for Gradient-Based Edge Detection, 2007 IEEE International Conference on Image Processing, 2007.
DOI : 10.1109/ICIP.2007.4379243

URL : https://hal.archives-ouvertes.fr/hal-00368399

J. Jan, Digital Signal Filtering, Analysis and Restoration. IET, 2000.

G. J. Klir and M. J. Wierman, Uncertainty Based Information: Elements of Generalized Information Theory, 1998.
DOI : 10.1007/978-3-7908-1869-7

D. Morales, L. Pardo, and I. Vajda, Uncertainty of discrete stochastic systems: general theory and statistical inference, Man, and Uncertainty?Part A: Systems and Humans, pp.681-697, 1996.
DOI : 10.1109/3468.541329

H. T. Nguyen, Some mathematical tools for linguistic probabilities. Fuzzy Sets and Systems, pp.53-65, 1979.

E. Parzen, On estimation of a probability density function and mode. The Annals of Mathematical Statistics, pp.1065-1076, 1962.

Z. Pawlak, Rough sets: Theoretical Aspects of Reasoning about Data, 1991.

B. L. Rao, Nonparametric functional estimation, 1983.

A. Rényi, On the measures of entropy and information, 4th Berkeley Symp, pp.547-561, 1961.

A. Rényi, On the Foundations of Information Theory, Revue de l'Institut International de Statistique / Review of the International Statistical Institute, vol.33, issue.1, pp.1-14, 1965.
DOI : 10.2307/1401301

M. Rosenblatt, Remarks on Some Nonparametric Estimates of a Density Function, The Annals of Mathematical Statistics, vol.27, issue.3, pp.832-837, 1956.
DOI : 10.1214/aoms/1177728190

L. Schwartz, Théorie des distributions, 1950.

D. W. Scott, Multivariate Density Estimation, 1992.

C. E. Shannon, A mathematical theory of communication. The Bell System technical journal, pp.379-423, 1948.

B. W. Silvermann, Density Estimation for Statistics and Data Analysis, Monographs on Statistics and Applied Probability, vol.26, 1986.
DOI : 10.1007/978-1-4899-3324-9

J. S. Simonoff, Smoothing Methods in Statistics, 1996.
DOI : 10.1007/978-1-4612-4026-6

. Ph, R. Smets, and . Kennes, The transferable belief model, Artificial Intelligence, vol.66, pp.191-234, 1994.

M. Unser, Splines: a perfect fit for signal and image processing, IEEE Signal Processing Magazine, vol.16, issue.6, pp.22-38, 1999.
DOI : 10.1109/79.799930

P. Walley, Statistical Reasoning with Imprecise Probabilities, 1991.
DOI : 10.1007/978-1-4899-3472-7

P. Walley, Towards a unified theory of imprecise probability, International Journal of Approximate Reasoning, vol.24, issue.2-3, pp.125-148, 2000.
DOI : 10.1016/S0888-613X(00)00031-1

R. R. Yager, ENTROPY AND SPECIFICITY IN A MATHEMATICAL THEORY OF EVIDENCE, International Journal of General Systems, vol.9, issue.1, pp.249-260, 1983.
DOI : 10.1080/03081078308960825

L. A. Zadeh, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, vol.1, issue.1, pp.3-28, 1978.
DOI : 10.1016/0165-0114(78)90029-5