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Two precautions of entropy-weighting model in drought-risk assessment

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  • Fanghui Yi

    (Wuhan University)

  • Chen Li

    (Wuhan University)

  • Yan Feng

    (Nanchang University
    Ministry of Education)

Abstract

Two disadvantages of the entropy-weighting model (EWM) in drought-risk assessment are presented through two typical examples in this paper. (1) For distortion in the normalization process, entropy defined by EWM cannot represent the indicator’s dipartite degree correctly when too many zero values exist in the observation data. (2) Given that EWM neglects the indicator’s practical significance in drought-risk assessment, the indicator’s dipartite degree cannot correctly represent its importance when observation data are concentrated in the worst category. These two problems lead to unjustified drought-risk assessment results. Therefore, the features of observation data should be checked before weighting. If the indicator’s observation values are concentrated in the worst domain or numerous zero values exist, then EWM should be applied cautiously.

Suggested Citation

  • Fanghui Yi & Chen Li & Yan Feng, 2018. "Two precautions of entropy-weighting model in drought-risk assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(1), pages 339-347, August.
    • Handle: RePEc:spr:nathaz:v:93:y:2018:i:1:d:10.1007_s11069-018-3303-2
    DOI: 10.1007/s11069-018-3303-2
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    References listed on IDEAS

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    1. Xu, Xiaozhan, 2004. "A note on the subjective and objective integrated approach to determine attribute weights," European Journal of Operational Research, Elsevier, vol. 156(2), pages 530-532, July.
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    Cited by:

    1. Pengyu Chen, 2019. "A Novel Coordinated TOPSIS Based on Coefficient of Variation," Mathematics, MDPI, vol. 7(7), pages 1-17, July.
    2. Yu Liu & Bo Li & Chuanping Wu & Baohui Chen & Tejun Zhou, 2021. "Risk warning technology for the whole process of overhead transmission line trip caused by wildfire," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 195-212, May.
    3. Wentong Yang & Liyuan Zhang & Chunlei Liang, 2023. "Agricultural drought disaster risk assessment in Shandong Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 1515-1534, September.

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