An interval matrix method used to optimize the decision matrix in AHP technique for land subsidence susceptibility mapping

摘要: The analytical hierarchy process (AHP) is one of the most effective methods for criteria ranking/weighting to have been successfully incorporated into GIS analyses. We present a new method optimizing pairwise comparison decision-making matrices in AHP method, which has developed on basis an interval matrix (IPCM) derived from expert knowledge. used ranking land subsidence susceptibility mapping (LSSM) as practical test case, was generated by comparison. To compare capability (a traditional approach) with that proposed IPCM novel approach), 11 creations LSSM were ranked using each approach turn. weightings obtained then produce maps based these approaches. results tested against data set known occurrences, indicating improvement accuracy about 14% map method. This achieved minimizing uncertainty associated and could form future research Our will be considerable importance researchers involved GIS-based multi-criteria decision analysis (MCDA) those dealing spatial methods.