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Application of a triangular fuzzy AHP approach for flood risk evaluation and response measures analysis

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Abstract

Flood risk evaluation and prediction represents an essential analytic step to coherently link flood control and disaster mitigation. The paper established a hybrid evaluation model based on fuzzy analytic hierarchy process (AHP) and triangular fuzzy number. It comprises flood risk evaluation and prediction to obtain risk factors ranking and comprehensive flood risk prediction, and then analyzed flood risk response measures. A case study is proposed entailing a flood risk evaluation and prediction in the Lower Yangtze River region. The evaluation results showed that the proposed evaluation and prediction model was capable of adequately representing the actual setting. In addition, a comparison with the previously described AHP and trapezoidal fuzzy AHP, and experimental results are encouraging, which fully demonstrates the effectiveness and superiority of the proposed model.

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References

  • Alderman K, Turner LR, Tong SL (2012) Floods and human health: a systematic review. Environ Int 47:37–47

    Article  Google Scholar 

  • Alvarado-Aguilar D, Jiménez JA, Nicholls RJ (2012) Flood hazard and damage assessment in the Ebro Delta (NW Mediterranean) to relative sea level rise. Nat Hazards 62:1301–1321

    Article  Google Scholar 

  • Chen CW, Tseng CP (2012) Default risk-based probabilistic decision model for risk management and control. Nat Hazards. doi:10.1007/s11069-012-0183-8

    Google Scholar 

  • Erden T, Karaman H (2012) Analysis of earthquake parameters to generate hazard maps by integrating AHP and GIS for Küçükçekmece region. Nat Hazards Earth Syst Sci 12:475–483

    Article  Google Scholar 

  • Hasekioğulları GD, Ercanoglu M (2012) A new approach to use AHP in landslide susceptibility mapping: a case study at Yenice (Karabuk, NW Turkey). Nat Hazards. doi:10.1007/s11069-012-0218-1

    Google Scholar 

  • Li KZ, Wu SH, Dai EF, Xu ZC (2012) Flood loss analysis and quantitative risk assessment in China. Nat Hazards. doi:10.1007/s11069-012-0180-y

    Google Scholar 

  • Lin HF, Lee HS, Wang DW (2009) Evaluation of factors influencing knowledge sharing based on a fuzzy AHP approach. J Inf Sci 35(1):25–44

    Article  Google Scholar 

  • Lious TS, Wang MJJ (1992) Ranking fuzzy numbers with integral value. Fuzzy Sets Syst 50:247–255

    Article  Google Scholar 

  • Metin D, Ihsan Y, Mustafa K (2008) A fuzzy analytic network process (ANP) model to identify faulty behavior risk (FBR) in work system. Saf Sci 46(5):771–783

    Article  Google Scholar 

  • Pourghasemi HR, Pradhan B, Gokceoglu C (2012) Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Nat Hazards. doi:10.1007/s11069-012-0217-2

    Google Scholar 

  • Power DJ, Sohal AS, Rahman S (2001) Critical success factors in agile natural disaster risk management: an empirical study. Int J Phys Distrib Logist 31(4):247–265

    Article  Google Scholar 

  • Saaty TL (1996) Decision making with dependence and feedback: the analytic network process. RWS Publication, Pittsburgh

    Google Scholar 

  • Saaty TL (2004) Decision making-the analytic hierarchy and network processes (AHP/ANP). J Sci Syst Eng 13(3):1–35

    Article  Google Scholar 

  • Song LX, Zhou JZ, Li QQ, Yang XL, Zhang YC (2011) An unstructured finite volume model for dam-break floods with wet/dry fronts over complex topography. Int J Numer Methods Fluids 67(8):960–980

    Article  Google Scholar 

  • Xie F, Tang DS (2010) The application of AHP and fuzzy comprehensive evaluation in harmonious level measurement between human and water in city. J Comput Inf Syst 6(14):4647–4655

    Google Scholar 

  • Xie T, Zhou JZ, Song LX (2011) Dynamic evaluation and implementation of flood loss based on GIS grid data. Commun Comput Inf Sci 228:558–565

    Article  Google Scholar 

  • Yang XL, Zhou JZ, Ding JH, Deng WP, Zhang YC (2009) Study on evaluation methods of flood disaster grade. 6th Int Conf Fuzzy Syst Knowl Discov 4:386–390

    Google Scholar 

  • Yuan SH, Liu X, Tu YL, Xue DY (2008) Evaluating supplier performance using DEA and piecewise triangular fuzzy AHP. J Comput Inf Sci Eng 8(3):0310041–0310047

    Article  Google Scholar 

  • Zadeh L (1965) Fuzzy sets. Inf Control 8:338–353

    Article  Google Scholar 

  • Zheng GZ, Zhu N, Tian Z, Chen Y, Sun BH (2012) Application of a trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments. Saf Sci 50(2):228–239

    Article  Google Scholar 

  • Zou Q, Zhou JZ, Zhou C, Chen SS, Song LX, Guo J, Liu Y (2012) Flood disaster risk analysis based on principle of maximum entropy and attribute interval recognition theory. Adv Water Sci 23(3):323–334 (in Chinese with English abstract)

    Google Scholar 

Download references

Acknowledgments

The authors would like to thank the National Natural Science Foundation of China (No. 51107047) and Research project of Hubei Provincial Department of Education under Grant (No. B20121403).

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Correspondence to Xiao-ling Yang.

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Yang, Xl., Ding, Jh. & Hou, H. Application of a triangular fuzzy AHP approach for flood risk evaluation and response measures analysis. Nat Hazards 68, 657–674 (2013). https://doi.org/10.1007/s11069-013-0642-x

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  • DOI: https://doi.org/10.1007/s11069-013-0642-x

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