Abstract
Because uncertainty pervades the field of rock slope stability analysis, the importance of uncertainty has been recognized. Subsequently, probability theory has been used to quantify the uncertainty. However, some uncertainties, due to incomplete information, cannot be managed satisfactorily by probability theory, so fuzzy set theory is more appropriate in the case. In this study, the uncertain parameters in rock slope stability analysis were expressed as fuzzy numbers and fuzzy set theory was employed. The Monte Carlo simulation technique and reliability index approach were implemented with fuzzy set theory in order to take into account the fuzzy uncertainties in the evaluation of the probability of failure. In order to check the feasibility of the proposed approaches, the presented methods were applied to a practical example. Based on the results of the practical application, it was concluded that the application of fuzzy set theory shows consistent analysis results and can obtain reasonable results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
