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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v5i12.5814</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Study of Low-Altitude Emergency Response Alternative Selection Process</title><url>https://artdesignp.com/journal/SSR/5/12/10.26689/ssr.v5i12.5814</url><author>YuJie,WangZengqiang</author><pub-date pub-type="publication-year"><year>2023</year></pub-date><volume>5</volume><issue>12</issue><history><date date-type="pub"><published-time>2023-12-27</published-time></date></history><abstract>To address the complexity of the departmental coordination with others effectively, an approach for selecting emergency alternatives based on multi-granularity linguistic and multidivisional cooperation was presented. Firstly, multi-granularity linguistic phrases were employed to express the preference information, and some transformation functions were used to unify the multi-granular linguistic phrases into a uniform linguistic label set. Secondly, the evaluation indexes of key attributes with respect to each combination of alternations were determined considering multidivisional cooperation. Furthermore, according to the evaluation indexes and the weight vector of key attributes, the comprehensive value of each combination alternative was determined to obtain the best alternative. Finally, a case study of low-attitude airspace emergency rescue after an earthquake is presented to illustrate the validity of the approach.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Qi K, Wang Q, Duan Q, et al., 2018, A Multi-Criteria Comprehensive Evaluation Approach for Emergency Response Capacity with Interval 2-Tuple Linguistic Information. Applied Soft Computing, 72(11): 419–441.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Shen YS, Wang P, Li MP, et al., 2019, Application of Subway Foundation Pit Engineering Risk Assessment: A Case Study of Qingdao Rock Area, China. KSCE Journal of Civil Engineering, 23(11): 4621–4630.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Li S, Wei C, 2019, A Two-Stage Dynamic Influence Model-Achieving Decision-Making Consensus Within Large Scale Groups Operating with Incomplete Information. Knowledge-Based Systems, 189: 105132.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Jahangoshai Rezaee M, Yousefi S, Eshkevari M, et al., 2020, Risk Analysis of Health, Safety and Environment in Chemical Industry Integrating Linguistic FMEA, Fuzzy Inference System and Fuzzy DEA. Stochastic Environmental Research and Risk Assessment, 34: 201–218.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Rodríguez RM, Labella A, De Tré G, et al., 2018, A Large Scale Consensus Reaching Process Managing Group Hesitation. Knowledge-Based Systems, 159: 86–97.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Wang ZQ, Chen ZS, Garg H, et al., 2022, An Integrated Quality-Function-Deployment and Stochastic-Dominance-Based Decision-Making Approach for Prioritizing Product Concept Alternatives. Complex &amp; Intelligent Systems, 8(3): 2541–2556.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Haghshenas SS, Barmal M, Farzan N, 2016, Utilization of Soft Computing for Risk Assessment of a Tunneling Project Using Geological Units. Civil Engineering Journal, 2(7): 358–364.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Islam MS, Nepal MP, Skitmore M, et al., 2017, Current Research Trends and Application Areas of Fuzzy and Hybrid Methods to the Risk Assessment of Construction Projects. Advanced Engineering Informatics, 33: 112–131.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
