International Journal on Advanced Science, Engineering and Information Technology, Vol. 2 (2012) No. 2, pages: 151-155, DOI:10.18517/ijaseit.2.2.174

Fuzzy Logic System for Slope Stability Prediction

Tarig Mohamed, Anuar Kasa, Mohd. Raihan Taha


The main goal of this research is to predict the stability of slopes using fuzzy logic system. GeoStudio, a commercially available software was used to compute safety factors for various designs of slope. The general formulation of the software could analyze slope stability using various methods of analysis i.e. Morgenstern-Price, Janbu, Bishop and Ordinary to calculate the safety factors. After analyzing, fuzzy logic was used to predict the slope stability. Fuzzy logic is based on natural language and conceptually easy to understand, flexible, tolerant of imprecise data and able to model nonlinear functions of arbitrary complexity. Several important parameters such as height of slope, unit weight of slope material, angle of slope, coefficient of cohesion and internal angle of friction were used as the input parameters, while the factor of safety was the output parameter. A model to test the stability of the slope was generated from the calculated data. This model presented a relationship between input parameters and stability of the slopes. Results showed that the prediction using fuzzy logic was accurate and close to the target data.


limit equilibrium methods; fuzzy logic; factor of safety

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