An evaluation of factors influencing the community emergency management under compounding risks perspective

Li, Zhijian; She, Jianjun; Guo, Zihao; Du, Jiewen; Zhou, Yilun

doi:10.1016/j.ijdrr.2023.104179

Cited by 6 publications

(5 citation statements)

References 44 publications

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“…Step 4: According to the ALCT-SFDWPPHM operator and ALCT-SFDWPPGHM operator, calculate the WSM and WPM of each alternative, and the results are expressed by W i (1) and W i (2) , respectively.…”

Section: Multi-attribute Assessment Methods Based On the Alct-sfdwpph...mentioning

confidence: 99%

“…Step 5: Based on the W i (1) and W i (2) obtained in Step 4, the assessment results combined with the WASPAS method can be obtained as follows:…”

Section: Multi-attribute Assessment Methods Based On the Alct-sfdwpph...mentioning

confidence: 99%

“…Step 3: The attribute weights are obtained based on Equations ( 42) and ( 43) as shown in Table 6. Step 4: Calculate W i (1) and W i (2) of each database according to Equations ( 44) and ( 45)…”

Section: Assessment Rankingmentioning

confidence: 99%

“…High-quality emergency information can help us better identify the risks faced by social, environmental, and economic systems to develop corresponding emergency plans. It can increase the effectiveness of emergency management in achieving sustainability in social development [1,2]. With the increasing degree of social informatization and networking and the large amount of data emerging shortly after emergencies, the effective screening of emergency information has become an urgent problem to be solved.…”

Section: Introductionmentioning

confidence: 99%

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Advanced Linguistic Complex T-Spherical Fuzzy Dombi-Weighted Power-Partitioned Heronian Mean Operator and Its Application for Emergency Information Quality Assessment

Zang,

Zhao,

Jiang

et al. 2024

Sustainability

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Against the background of a major change in the world unseen in a century, emergencies with high complexity and uncertainty have had serious impacts on economic security and sustainable social development, making emergency management an important issue that needs to be urgently resolved, and the quality assessment of emergency information is a key link in emergency management. To effectively deal with the uncertainty of emergency information quality assessment, a new fuzzy multi-attribute assessment method is proposed in this paper. First, we propose the linguistic complex T-spherical fuzzy set (LCT-SFS), which can deal with two-dimensional problems and cope with situations in which assessment experts cannot give quantitative assessments. Then, the advanced linguistic complex T-spherical fuzzy Dombi-weighted power-partitioned Heronian mean (ALCT-SFDWPPHM) operator, which incorporates the flexibility of Dombi operations, is proposed. The partitioned Heronian mean (PHM) operator can consider attribute partitioning and attribute correlation, the power average (PA) operator can eliminate the effect of evaluation singularities, and the advanced operator can circumvent the problem of consistent or indistinguishable aggregation results, which provides a strong comprehensive advantage in the evaluating information aggregation. Finally, a fuzzy multi-attribute assessment model is constructed by combining the proposed operator with the WASPAS method and applied to the problem of assessing the quality and sensitivity of emergency information; qualitative and quantitative comparison analyses are carried out. The results show the method proposed in this paper has strong feasibility and validity and can represent uncertainty assessment more flexibly while providing reasonable and reliable results. The method can provide new ideas and methods for the quality assessment of emergency information, and promoting sustainable, efficient, and high-quality development of emergency management.

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Section: Multi-attribute Assessment Methods Based On the Alct-sfdwpph...mentioning

confidence: 99%

“…Step 5: Based on the W i (1) and W i (2) obtained in Step 4, the assessment results combined with the WASPAS method can be obtained as follows:…”

Section: Multi-attribute Assessment Methods Based On the Alct-sfdwpph...mentioning

confidence: 99%

Section: Assessment Rankingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Advanced Linguistic Complex T-Spherical Fuzzy Dombi-Weighted Power-Partitioned Heronian Mean Operator and Its Application for Emergency Information Quality Assessment

Zang,

Zhao,

Jiang

et al. 2024

Sustainability

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show abstract

“…Overall, the link between SSM and institutional economics helps to enhace the organizational performance and pursue the sustainable development goals (SDGs) (Eweje et al, 2021). This integrated perspective not only enriches our theoretical knowledge base but also equips practitioners with practical tools for navigating complexity effectively -ultimately contributing towards more resilient and adaptable organizations (Strielkowski et al, 2023;Li et al, 2024).…”

Section: Ssm and Institutional Economics Approachmentioning

confidence: 99%

Sustainable organizational development and human capital in the context of soft systems methodology

Strielkowski,

Kuzmin,

Suvorova

et al. 2024

Terra Econ.

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As the world faces major challenges related to the climate change and geopolitical hurdles, soft systems methodology (SSM) and institutional factors offer a complex approach that might be helpful in achieving the sustainable development goals (SDGs) and are therefore gaining an increasing popularity in the research literature. By embracing the principles of SSM within the realm of institutional economics, academics and decision-makers can navigate through the complexities of real-world problems and devise effective strategies for addressing them. Understanding the intricate relationship between SSM and institutional economics offers a unique lens through which organizational performance and sustainability can be enhanced. This synergy, when explored and applied judiciously, provides a comprehensive framework that addresses not only the technical aspects of an organization but also its socio-economic dimensions. In the empirical part of the paper, a bibliometric analysis is used based on the sample of 76 documents indexed in Web of Science (WoS) database between 1995 and 2023. The network cluster analysis using the text data and the bibliometric data is employed using the VOSViewer software for network analysis. The results show that as the economic and social processes are becoming more robust, SSM and institutional economics are currently returning to the spotlight of the academic research focused on topics such as organizational performance and sustainability as well as sustainable human capital efficiency.

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Advancing the Emergency Industry: Policy, Innovation, and Implications for National Security

Shen,

Zhang

2024

J Knowl Econ

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An evaluation of factors influencing the community emergency management under compounding risks perspective

Cited by 6 publications

References 44 publications

Advanced Linguistic Complex T-Spherical Fuzzy Dombi-Weighted Power-Partitioned Heronian Mean Operator and Its Application for Emergency Information Quality Assessment

Advanced Linguistic Complex T-Spherical Fuzzy Dombi-Weighted Power-Partitioned Heronian Mean Operator and Its Application for Emergency Information Quality Assessment

Sustainable organizational development and human capital in the context of soft systems methodology

Advancing the Emergency Industry: Policy, Innovation, and Implications for National Security

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