Abstract
The objective of this study is to propose a strategy for the application of the slope stability evaluation models for risk prevention plans. One of the difficulties is to interpret the prediction results derived from “different models”. In this contribution, four prediction models were considered: (1) a Bayesian probability model, (2) a Certainty factor model, (3) a Fuzzy set theory mode, and (4) a SSE model based on the quantification method of Type-II. As the results, it is indicated that: (a) the “SSE model” and “Fuzzy set theory model” are particularly effective for evaluating the hazardous area in the study area; and (b) as a final product, “Risky-side” and “Safe-side” assessment sub-areas are delineated from the difference map (termed “DIF-map”) made by those selected two models.
