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Intuitionistic fuzzy theory based typhoon disaster evaluation in Zhejiang Province, China: a comparative perspective

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  • Dejian Yu

Abstract

Typhoon is one of the major weather disasters in China’s coastal and some inland areas. This study focuses on the evaluation of typhoon disaster in Zhejiang province, China, based on intuitionistic fuzzy theory. First, some new intuitionistic fuzzy information aggregation operators are proposed on the basis of analyzing the inadequacies of the existing operators. Then, the comparative study between the proposed operators and the existing operators are investigated in detail. Furthermore, a decision-making method based on the proposed operators is introduced and applied to the assessment of typhoon disaster in Zhejiang province, China. The research results show that Wenzhou and Hangzhou are two most seriously affected cities by typhoon disaster. The research results demonstrate that the method proposed in this paper for typhoon disaster evaluation is practical and effective. This paper also provides methodology instruction to the practices of dealing with typhoon disasters so as to effectively enhance the capacity of disaster reduction for all levels of government in China. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Dejian Yu, 2015. "Intuitionistic fuzzy theory based typhoon disaster evaluation in Zhejiang Province, China: a comparative perspective," 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. 75(3), pages 2559-2576, February.
    • Handle: RePEc:spr:nathaz:v:75:y:2015:i:3:p:2559-2576
    DOI: 10.1007/s11069-014-1450-7
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    Cited by:

    1. Xiaobing Yu & Hong Chen & Chenliang Li, 2019. "Evaluate Typhoon Disasters in 21st Century Maritime Silk Road by Super-Efficiency DEA," IJERPH, MDPI, vol. 16(9), pages 1-10, May.
    2. Dejian Yu, 2015. "A scientometrics review on aggregation operator research," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 115-133, October.
    3. Xue Jin & U. Rashid Sumaila & Kedong Yin, 2020. "Direct and Indirect Loss Evaluation of Storm Surge Disaster Based on Static and Dynamic Input-Output Models," Sustainability, MDPI, vol. 12(18), pages 1-25, September.

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