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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">JARD</journal-id><journal-title-group><journal-title>Journal of Architectural Research and Development</journal-title></journal-title-group><issn>2208-3529</issn><eissn>2208-3537</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/jard.v7i6.5657</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>The Evaluation of Alternative Risk Control Schemes Based on Cumulative Prospect Theory</title><url>https://artdesignp.com/journal/JARD/7/6/10.26689/jard.v7i6.5657</url><author>ZhaoHai,WangYuliang</author><pub-date pub-type="publication-year"><year>2023</year></pub-date><volume>7</volume><issue>6</issue><history><date date-type="pub"><published-time>2023-11-28</published-time></date></history><abstract>Based on the analysis of the evaluation problems associated with the risk control scheme for major engineering projects, the evaluation method of the risk control scheme considering the irrational behavior of evaluation members in fuzzy random environment is proposed. Firstly, a maximum entropy model corresponding to any evaluation member is established by using triangular fuzzy random variables and grey correlation coefficient in order to obtain the weight of each risk factor of the member. Secondly, a nonlinear programming model is established according to the principle of minimizing deviation to estimate the weight of different evaluation members on the evaluation of alternative risk control schemes. Lastly, the cumulative entropy model is used to calculate the weight of risk control schemes. Cumulative prospect theory obtains the comprehensive prospect utility value of each alternative to determine the optimal alternative.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Iqbal S, Ehtisham N, Bukhari S, et al., 2020, The Assessment of Risk Management &amp; Engineering Management Practices at Project Planning Phase on Performance of Construction Projects. Journal of Business and Social Review in Emerging Economies, 6(4): 1365–1375.</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>Wu Z, Huang Z, Wu Y, et al., 2020, Risk Stratification for Mortality in Cardiovascular Disease Survivors: A Survival Conditional Inference Tree Analysis. Nutrition Metabolism and Cardiovascular Diseases, 31(2): 420–428.</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>Liu J, Wang H, 2019, Risk Assessment of International Electric Power Engineering Project Based on Improved Interpretation Structure Model. International Core Journal of Engineering, 5(10): 277–287.</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>Rixon A, Wilson S, Hussain S, et al., 2020, Leadership Challenges of Directors of Emergency Medicine: An Australasian Delphi Study. Emergency Medicine Australasia, 32(2): 258–266.</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>Mirzahossein H, Sedghi M, Habibi HM, 2020, Site Selection Methodology for Emergency Centers in Silk Road Based on Compatibility with Asian Highway Network Using the AHP and ArcGIS (Case Study: I. R. Iran). Innovative Infrastructure Solutions, 5(3): 1–14.</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>Chen ZS, Chin KS, Li LY, 2016, A Framework for Triangular Fuzzy Random Multiple-Criteria Decision Making. International Journal of Fuzzy Systems, 18(2): 227–247.</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>Tversky A, Kahneman D, 1992, Advances in Prospect Theory: Cumulative Representation of Uncertainty. Journal of Risk and Uncertainty, 5(4): 297–323.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
