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首页> 外文OA文献 >GIS-based Interval Pairwise Comparison Matrices as a Novel Approach for Optimizing an Analytical Hierarchy Process and Multiple Criteria Weighting. GI_Forum|GI_Forum 2017, Volume 1 |
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GIS-based Interval Pairwise Comparison Matrices as a Novel Approach for Optimizing an Analytical Hierarchy Process and Multiple Criteria Weighting. GI_Forum|GI_Forum 2017, Volume 1 |

机译：基于GIS的时间间隔成对比较矩阵是一种用于优化层次分析过程和多准则加权的新颖方法。 GI_Forum | GI_Forum 2017，第1卷|

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Multi-criteria decision analysis (MCDA) methods are used for criteria ranking/weighting in GIS environments, and. the analytical hierarchy process (AHP) is the most popular method for GIS-based MCDA. In this paper, a novel method is presented for optimizing pairwise comparison decision-making matrices in the AHP. The method is based on interval pairwise comparison matrices (IPCM). In order to assess the capability of the new approach, it was tested for landslide susceptibility mapping (LSM). To measure the improved accuracy achieved by the method, both AHP and IPCM were used for ranking nine causal criteria relating to landslide phenomena in Marand County, northwest Iran. The criteria weightings results were then used for LSM based on each of the methods. In order to validate the results, the outcomes of both methods were compared qualitatively against an existing landslide inventory dataset. The results of the evaluation indicated an improvement in accuracy of 3% in the LSM that was developed using the IPCM method. Our results will be important for researchers involved in GIS-based spatial decision-making problems, and for developing GIS-MCDA
机译：多标准决策分析（MCDA）方法用于GIS环境中的标准排名/加权。层次分析法（AHP）是基于GIS的MCDA最受欢迎的方法。本文提出了一种用于优化层次分析法中成对比较决策矩阵的新方法。该方法基于间隔成对比较矩阵（IPCM）。为了评估新方法的能力，对滑坡敏感性地图（LSM）进行了测试。为了测量通过该方法获得的提高的准确性，AHP和IPCM均用于对伊朗西北部马兰德县的9个与滑坡现象有关的因果标准进行排名。然后，根据每种方法，将标准加权结果用于LSM。为了验证结果，将两种方法的结果与现有滑坡清单数据集进行了定性比较。评估结果表明，使用IPCM方法开发的LSM的精度提高了3％。我们的结果对于参与基于GIS的空间决策问题的研究人员以及开发GIS-MCDA具有重要意义

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