Determination of the nominal (characteristic) values of geotechnical properties plays a crucial role within the limits states design (LSD or LRFD) concepts. The interrelationship between the process of the selection of the nominal value and the safety level is not clearly addressed in most of the new limits states design codes of practice for geotechnical engineering. Estimation of the characteristic values (p% fractile or the mean value) using the stochastic models is often linked up with some assumptions regarding the probability distribution functions. Probability theory has been perceived as a unique methodology to handle uncertainty in these geotechnical parameters despite the fact that some of the uncertainties associated with these geotechnical properties may be nonstochastic in nature. In this paper, the uncertainty connected with measured geotechnical properties is modeled using the fuzzy-reliability techniques. The measured parameters are rendered into fuzzy variables and the nominal values are ...
[1]
Claude E. Shannon,et al.
The Mathematical Theory of Communication
,
1950
.
[2]
Lotfi A. Zadeh,et al.
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
,
1973,
IEEE Trans. Syst. Man Cybern..
[3]
Lotfi A. Zadeh,et al.
Fuzzy Sets
,
1996,
Inf. Control..
[4]
C. E. SHANNON,et al.
A mathematical theory of communication
,
1948,
MOCO.
[5]
R. Yager.
ON THE MEASURE OF FUZZINESS AND NEGATION Part I: Membership in the Unit Interval
,
1979
.
[6]
R. Mises.
Grundlagen der Wahrscheinlichkeitsrechnung
,
1919
.
[7]
Bart Kosko,et al.
Neural networks and fuzzy systems
,
1998
.
[8]
M.A. Lee,et al.
Integrating design stage of fuzzy systems using genetic algorithms
,
1993,
[Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.