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Typhoon disaster assessment based on Dombi hesitant fuzzy information aggregation operators

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  • Xiaorong He

    (Southeast University)

Abstract

Hesitant fuzzy set is an extension of the traditional fuzzy set, and it has the membership function which was expressed by several possible numbers. Since it was introduced, it has been received wide attention from scholars due to its powerful ability in describing the uncertainty. In this paper, we first introduce some new operations on hesitant fuzzy elements (HFEs) based on Dombi t-conorm and t-norm and then proposed some new aggregation operators for HFEs, such as hesitant fuzzy Dombi weighted averaging, hesitant fuzzy Dombi ordered weighted averaging, hesitant fuzzy Dombi weighted geometric, hesitant fuzzy Dombi ordered weighted geometric, hesitant fuzzy Dombi hybrid averaging and hesitant fuzzy Dombi hybrid geometric operator. Finally, a multiple attribute group decision-making approach under hesitant fuzzy environment is presented based on these proposed operators. A real example about typhoon disaster assessment is presented to show the advantages of the proposed method.

Suggested Citation

  • Xiaorong He, 2018. "Typhoon disaster assessment based on Dombi hesitant fuzzy information aggregation operators," 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. 90(3), pages 1153-1175, February.
    • Handle: RePEc:spr:nathaz:v:90:y:2018:i:3:d:10.1007_s11069-017-3091-0
    DOI: 10.1007/s11069-017-3091-0
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    References listed on IDEAS

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    1. Jie Yin & Zhane Yin & Shiyuan Xu, 2013. "Composite risk assessment of typhoon-induced disaster for China’s coastal area," 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. 69(3), pages 1423-1434, December.
    2. Guizhi Wang & Rongrong Chen & Jibo Chen, 2017. "Direct and indirect economic loss assessment of typhoon disasters based on EC and IO joint model," 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. 87(3), pages 1751-1764, July.
    3. Dejian Yu, 2016. "Softmax function based intuitionistic fuzzy multi-criteria decision making and applications," Operational Research, Springer, vol. 16(2), pages 327-348, July.
    4. Mengya Li & Jun Wang & Xiaojing Sun, 2016. "Scenario-based risk framework selection and assessment model development for natural disasters: a case study of typhoon storm surges," 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. 80(3), pages 2037-2054, February.
    5. José M. Merigó & Alba Rocafort & Juan Pedro Aznar-Alarcón, 2016. "Bibliometric Overview of Business & Economics Research," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(3), pages 397-413, June.
    6. Merigó, José M. & Yang, Jian-Bo, 2017. "A bibliometric analysis of operations research and management science," Omega, Elsevier, vol. 73(C), pages 37-48.
    7. Qing Deng & Yi Liu & Hui Zhang & Xiaolong Deng & Yefeng Ma, 2016. "A new crowdsourcing model to assess disaster using microblog data in typhoon Haiyan," 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. 84(2), pages 1241-1256, November.
    8. Mengya Li & Jun Wang & Xiaojing Sun, 2016. "Scenario-based risk framework selection and assessment model development for natural disasters: a case study of typhoon storm surges," 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. 80(3), pages 2037-2054, February.
    9. Meimei Xia & Zeshui Xu & Na Chen, 2013. "Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making," Group Decision and Negotiation, Springer, vol. 22(2), pages 259-279, March.
    10. B Zhu & Z S Xu, 2013. "Hesitant fuzzy Bonferroni means for multi-criteria decision making," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(12), pages 1831-1840, December.
    11. Yu, Dejian & Xu, Chao, 2017. "Mapping research on carbon emissions trading: a co-citation analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1314-1322.
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    Cited by:

    1. Jiahuan He & Xindi Wang & Runtong Zhang & Li Li, 2019. "Some q -Rung Picture Fuzzy Dombi Hamy Mean Operators with Their Application to Project Assessment," Mathematics, MDPI, vol. 7(5), pages 1-28, May.
    2. Wei Yang & Yongfeng Pang, 2022. "T-Spherical Fuzzy Bonferroni Mean Operators and Their Application in Multiple Attribute Decision Making," Mathematics, MDPI, vol. 10(6), pages 1-33, March.
    3. Muhammad Qiyas & Saleem Abdullah & Shahzaib Ashraf & Lazim Abdullah, 2019. "Linguistic Picture Fuzzy Dombi Aggregation Operators and Their Application in Multiple Attribute Group Decision Making Problem," Mathematics, MDPI, vol. 7(8), pages 1-22, August.

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