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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Construction-project risk assessment by a new decision model based on De-Novo multi-approaches analysis and hesitant fuzzy sets under uncertainty
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Construction-project risk assessment by a new decision model based on De-Novo multi-approaches analysis and hesitant fuzzy sets under uncertainty

机译：基于De-Novo多方法分析的新决策模型和犹豫不决的模糊集的建设 - 项目风险评估

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Project risk management is an essential activity that refers to identify and analyze potential risks to take precautionary responses to mitigate their negative impacts or intensify their positive effects. This study presents a novel approach of failure mode and effect analysis (FMEA) by the aim of prioritizing construction project risks under uncertain conditions of projects. The examined data are defined in the form of a new extension of fuzzy sets, namely hesitant fuzzy sets (HFSs), to involve more possible memberships for evaluation risks' characteristics. Then, the application of H-VIKOR, VIKOR under hesitant information, and H-Shapley VIKOR is demonstrated to determine ranking order of construction-project risks. A new version of H-Shapley VIKOR method is presented in this study by defining a new evaluation index for ranking alternatives. Moreover, using different multi-attributes decision-making (MADM) methods may lead to several ranking orders. Rank reversal makes problem in complex decision-making process of the construction projects. To solve this problem, a new extension of De-Novo multi-approaches multi-attributes analysis by a group of experts or decision makers (DMs) is introduced to determine precise final ranking order. The extended method is encompassed the preference of project DMs about using different MADM methods. The application and performance of the proposed new FMEA model-based hesitant fuzzy De-Novo multi-approaches-multiple attributes analysis are evaluated through a real case study of highway project risks. The results indicate the efficiency of the proposed FMEA model.
机译：项目风险管理是一个重要的活动，指的是确定和分析潜在风险，以采取预防措施，以减轻它们的负面影响或加剧其积极影响。本研究提出了一种新颖的失效模式和效果分析方法（FMEA），其目的是在项目不确定的项目条件下优先考虑建设项目风险。检查的数据以模糊集的新延伸的形式定义，即犹豫不决的模糊集（HFSS），涉及更可能的成员资格，以获得评估风险的特征。然后，将在犹豫信息下的H-Vikor，Vikor的应用以及H-Shapley Vikor的应用，以确定建筑项目风险的排名顺序。本研究通过定义排名替代品的新评估指标，在本研究中提出了一个新版本的H-Shapley Vikor方法。此外，使用不同的多属性决策（MADM）方法可能导致几个排名命令。排名逆转使得建设项目复杂决策过程中的问题。为了解决这个问题，引入了一组专家或决策者（DMS）的De-Novo多方法的新延伸，以确定精确的最终排名顺序。扩展方法包括项目DMS关于使用不同MADM方法的偏好。拟议的新型FMEA模型的犹豫不决的模糊De-Novo多方法 - 多种属性分析的应用和性能通过对公路项目风险的实际研究来评估。结果表明了所提出的FMEA模型的效率。

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