An Improved Unascertained Measure-Set Pair Analysis Model Based on Fuzzy AHP and Entropy for Landslide Susceptibility Zonation Mapping

Landslides are one of the most destructive and common geological disasters in Tonglvshan mining area, which seriously threatens safety surrounding residents ancient copper mine site. Therefore, to effectively reduce landslide risk protect site, it is necessary carry out a systematic assessment susceptibility study area. Combining unascertained measure (UM) theory, dynamic comprehensive weighting (DCW) method based on fuzzy analytic hierarchy process (AHP)-entropy weight set pair analysis (SPA) an improved UM-SPA coupling model for proposed this study. First, hierarchical evaluation index system including 10 conditioning factors constructed. Then, AHP-entropy used assign independent weights each unit. Finally, we optimize credible degree recognition criteria UM theory by introducing SPA quantitatively determine level. The results show that can produce zoning maps with high reliability. whole area divided into five levels. 5.8% 10.16% extremely areas areas, respectively. low account 30.87% 34.14% total Comparison AHP Entropy-FAHP models indicates (AUC = 0.777) shows better performance than 0.764) conventional 0.698). these provide reference emergency planning, disaster reduction prevention decision-making