Publication Date




Original paper published in the Proceedings of the Second International Conference on Fuzzy Sets and Soft Computing in Economics and Finance FSSCEF'2006, St. Petersburg, Russia, June 28 - July 1, 2006, pp. 47-54; updated version published in IEEE Proceedings of the 12th GAMM-IMACS International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics, Duisburg, Germany, September 26-29, 2006.


In many real-life situations, we have several types of uncertainty: measurement uncertainty can lead to probabilistic and/or interval uncertainty, expert estimates come with interval and/or fuzzy uncertainty, etc. In many situations, in addition to measurement uncertainty, we have prior knowledge coming from prior data processing, prior knowledge coming from prior interval constraints. In this paper, on the example of the seismic inverse problem, we show how to combine these different types of uncertainty.

tr06-19.pdf (136 kB)
Original file: UTEP-CS-06-19