An Integrated Fuzzy Dematel-Fuzzy Anp Model for Evaluating Construction Projects by Considering Interrelationships Among Risk Factors

Hatefi, Seyed Morteza; Tamošaitienė, Jolanta

doi:10.3846/jcem.2019.8280

Cited by 76 publications

(59 citation statements)

References 37 publications

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“…The DS theory of evidence is an efficient and applicable tool to solve decision making problems under uncertainty. Evaluating construction projects based on the risk factors under uncertainty is an important topic in the field of construction risk management [16]. Therefore, applying DS theory of evidence to solve the construction project evaluation problem under uncertainty is an interesting topic for future research.…”

Section: Discussionmentioning

confidence: 99%

“…The seventh and eighth columns, respectively, represent the risk score and the rank of risk events calculated by implementing the fuzzy inference system. To do this end, according to Yazdani-Chamzini [16], for each type of risk event presented in Table 3, the level of probability and its impact based on the values given in Table 1 are determined by an expert team, including seven assessors with a high degree of knowledge in the area of risk management. Therefore, risk levels are extracted from these numerical values, as represented in Table 3.…”

Section: Environmental Risk Assessment Of Maroon-isfahan Pipelinementioning

confidence: 99%

“…Chatterjee et al [15] introduced the analytic network process in the D number and an extended multi-attributive border approximation area comparison (MABAC) method in D number to prioritize and select the best alternative risk response strategy. Hatefi and Tamošaitienė [16] introduced an integrated fuzzy DEMATEL-fuzzy analytic network process (ANP) model for evaluating construction projects by considering interrelationships among risk factors. The authors utilized the proposed model to evaluate five construction projects based on 22 risk factors.…”

Section: Introductionmentioning

confidence: 99%

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An Evidential Model for Environmental Risk Assessment in Projects Using Dempster–Shafer Theory of Evidence

2019

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One of the goals of sustainable development is to achieve economic and social growth according to environmental criteria. Nowadays, impact assessment is an efficient decision making method in planning and management with environmental perspectives. Environmental risk assessment is a tool to reduce the impacts and consequences of various activities on the environment in order to achieve sustainable development. One of the commonly used environmental risk assessment methods is the probability–impact matrix method, which is known as a quantitative method for risk assessment of projects. In this method, numerical estimates of probability and impact of risk occurrence are very difficult, and these factors are associated with uncertainty. When uncertainty exists, data integration is of great importance, for which the fuzzy inference system and evidence theory are known as effective methods. Unavailability of experts’ opinion and the exponential growth of the number of required fuzzy rules associated with the risk factors are two drawbacks of fuzzy inference. Dempster–Shafer’s theory of evidence is one of the popular theories used in intelligent systems for modeling and reasoning under uncertainty and inaccuracy. In this paper, an evidential model for project environmental risk assessment is proposed based on the Dempster–Shafer theory, which is capable of taking into account the uncertainties. The proposed model is used to assess the environmental risks of Maroon oil pipelines in Isfahan. In addition, the proposed model is used in the case of tunneling risk assessment taken from the subject literature. To evaluate the validity of the proposed evidential model, the results are compared in two case studies, with the results of the conventional risk assessment method and the fuzzy inference system method. The comparative results show that the proposed model has a high potential for project risk assessment under an uncertain environment.

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Section: Discussionmentioning

confidence: 99%

Section: Environmental Risk Assessment Of Maroon-isfahan Pipelinementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Evidential Model for Environmental Risk Assessment in Projects Using Dempster–Shafer Theory of Evidence

2019

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“…This method of quantification is far from being the only one used in the risk quantification process. Some more recent approaches for quantifying risk include using multi-attribute decision-making tools such as the analytic network process (Hatefi & Tamošaitienė, 2019) and others even replace the core elements to quantifying risks. Gunduz and Laitinen (2018) have for example replaced the probability level (due to its inaccuracy) with levels of prevention and control which are easier to estimate and are more accurate.…”

Section: Risk Quantificationmentioning

confidence: 99%

Classification of Construction Hazards for a Universal Hazard Identification Methodology

Mihić

2020

Journal of Civil Engineering and Management

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Hazard identification in the construction industry is subject to a larger number of variables and unknowns than in other manufacturing industries making the hazard identification process more difficult and resulting in many injuries and fatalities. Moreover, previous research identified a research gap with regards to a universal hazard identification method. The results presented in this paper are a prerequisite for the development of such a method. Specifically, this paper proposes a novel classification of hazards in order to enable a more accurate hazard identification process which can take all possible hazards into consideration. Based on the theoretical framework, three hazard types are proposed in the research: self-induced hazards, peer-induced hazards, and global hazards. This classification is based on who is the source (who causes) the hazards in relation to who is affected by the hazards. Such classification was not identified in previous literature. This research also has practical implications. Such classification of hazards may influence safety experts to more actively focus on peer-induced hazards which are the hardest to identify. Finally, the outputs of the entire research should enable a more accurate and comprehensive hazard identification resulting in reduced injury and fatality rates in the construction industry.

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“…While existing studies have highlighted agency problems [13,14,19], and while risk allocation frameworks do exist [20][21][22], frameworks that focus directly on solving agency problems via efficient risk allocation are rare. Exceptions, however, include recent work by Shrestha et al [17] that use the PAT approach to analyze risk transfer in PPPs.…”

Section: Introductionmentioning

confidence: 99%

A Principal-Agent Theory Perspective on PPP Risk Allocation

et al. 2019

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This study proposes a framework for the allocation of risk in public private partnerships (PPP) projects. Its contribution lies in the recognition and incorporation of risks introduced by project stakeholders, and as articulated by the principal-agent theory (PAT). The framework assesses risks and routes these risks to those parties best equipped to mitigate their impact on the project. This allocation of risk is facilitated by a thirteen-step process. The practical benefit of this study lies in outlining a clear, systematic method for allocating risk efficiently to both the government and private enterprise parties of the project. In so doing, risk mitigation can be expected to improve project performance, optimize stakeholder goals, and enhance sustainability objectives, including improved operational life-cycle efficiency and elevated social and community benefits.

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An Integrated Fuzzy Dematel-Fuzzy Anp Model for Evaluating Construction Projects by Considering Interrelationships Among Risk Factors

Cited by 76 publications

References 37 publications

An Evidential Model for Environmental Risk Assessment in Projects Using Dempster–Shafer Theory of Evidence

An Evidential Model for Environmental Risk Assessment in Projects Using Dempster–Shafer Theory of Evidence

Classification of Construction Hazards for a Universal Hazard Identification Methodology

A Principal-Agent Theory Perspective on PPP Risk Allocation

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