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A Revised Grey Relational Analysis Method for Multicriteria Group Decision-Making with Expected Utility Theory for Oil Spill Emergency Management

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  • Wenshuai Wu

Abstract

The substantial importance and complexity of oil spill emergency management have been confirmed by the massive, disastrous oil spill accidents that have occurred in recent years. The goal of this study is to research and develop an effective new model to accurately respond to oil spill emergencies for the purpose of disaster risk reduction. In this model, firstly, grey relational analysis is used to treat the variable and complex environment of an oil spill. Secondly, a revised grey relational analysis method based on the concept of angle between two vectors is presented to optimize assessment accuracy by measuring the similarity between the reference series and alternative series. Thirdly, by incorporating expected utility theory, a revised grey relational analysis for facilitating consensus is developed for multicriteria group decision-making. Finally, an empirical study on oil spill emergency management is discussed to demonstrate the feasibility and effectiveness of the proposed model for oil spill emergency management in a complex environment to reduce disaster risk.

Suggested Citation

  • Wenshuai Wu, 2021. "A Revised Grey Relational Analysis Method for Multicriteria Group Decision-Making with Expected Utility Theory for Oil Spill Emergency Management," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-13, March.
  • Handle: RePEc:hin:jnlmpe:6682332
    DOI: 10.1155/2021/6682332
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    Cited by:

    1. Darko Božanić & Dragan Pamucar & Ibrahim Badi & Duško Tešić, 2023. "A decision support tool for oil spill response strategy selection: application of LBWA and Z MABAC methods," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 24-58, March.
    2. Kai Li & Hongliang Yu & Yiqun Xu & Xiaoqing Luo, 2022. "Scheduling Optimization of Offshore Oil Spill Cleaning Materials Considering Multiple Accident Sites and Multiple Oil Types," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    3. Feng Li & Pengchao Zhang & Xin Huang & Jiabin Sun & Qian Li, 2022. "Emergency Decision-Making for Middle Route of South-to-North Water Diversion Project Using Case-Based Reasoning and Prospect Theory," Sustainability, MDPI, vol. 14(21), pages 1-29, October.

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