Volume 39, Issue 2 e12866
ORIGINAL ARTICLE

Improved multi-criteria group decision-making method considering hesitant fuzzy preference relations with self-confidence behaviours for environmental pollution emergency response process evaluation

Jun Liu

Jun Liu

School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, China

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Shengkai Zhang

Shengkai Zhang

School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, China

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Yan Tu

Corresponding Author

Yan Tu

School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, China

Correspondence

Yan Tu, School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China.

Email: [email protected]

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Liang Li

Liang Li

School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, China

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Zongmin Li

Zongmin Li

School of Business, Sichuan University, Chengdu, China

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First published: 29 October 2021

Funding information: National Natural Science Foundation of China, Grant/Award Number: 71801177; Humanities and Social Science Fund of Ministry of Education of China, Grant/Award Number: 18YJC630163; Fundamental Research Funds for the Central Universities, Grant/Award Number: 2020VI006

Abstract

Environmental pollution is one of the major challenges in China, which seriously affects people's life, economy and society. This paper proposes a multi-criteria group decision-making method based on hesitant fuzzy preference relations with self-confidence (HFPRs-SC) behaviours and applies it to the evaluation of the environmental pollution emergency response process. Firstly, a comprehensive evaluation system is proposed that covers the environmental pollution emergency response process. Moreover, urn:x-wiley:02664720:media:exsy12866:exsy12866-math-0001 is utilized to obtain the normalized hesitant fuzzy preference relationship, and an algorithm that considers both the hesitant fuzzy preference value and the self-confidence level is proposed to improve the consistency of HFPRs-SC. In addition, combined with subjective and objective weights of experts, a weighted average operator based on the confidence level is applied to aggregate individual HFPR-SC. Furthermore, the score function of HFPRs-SC is designed to get the best ranking. Finally, a case study on an explosion accident in Fujian Province of China is conducted to verify the practicability and effectiveness of the proposed method with comparative analysis and sensitivity analysis. Based on the analysis, some suggestions are put forward for improving environmental pollution emergency response.

CONFLICT OF INTEREST

The authors declare no potential conflict of interests.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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