Abstract
Site selection of post-earthquake reconstruction needs to process spatial data, and economic and human factors. There are both certainties and fuzzy uncertainties. Also quantitative data and qualitative data coexist due to different data types and precision. A reasonable location decision requires a comprehensive understanding and full use of these data. This paper introduced the Fuzzy Synthetic Evaluation (FSE) approach to the assessment of candidate areas acquired from the geological safety analysis of the study area. The proposed evaluation indices mainly consisted of natural resources, ecological protection, human protection, urban construction, transportation and development potential. The valid results show that the proposed method can be applied to site selection of post-earthquake reconstruction.
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This project is supported by the National Natural Science Foundation of China (Grant No. 41071265).
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Peng, L., Yang, W., Liu, H. (2016). Using Fuzzy Synthetic Evaluation in Site Selection of Post-earthquake Reconstruction Based on Remotely Sensed Imagery and Geographic Information. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_96
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DOI: https://doi.org/10.1007/978-3-662-49155-3_96
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