A comprehensive risk assessment model based on a fuzzy synthetic evaluation approach for green building projects: the case of Vietnam

Nguyen, Huy Huu; Macchion, Laura

doi:10.1108/ecam-09-2021-0824

Cited by 21 publications

(11 citation statements)

References 38 publications

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“…Despite strong implications, there is still a limited number of research that employs the strengths of the FSE method in green building studies. For example, Nguyen and Macchion (2022) applied FSE to comprehensively assess the risks of green building in Vietnam. Using a similar approach, Zhao et al, (2016) judged the risks of green buildings in Singapore.…”

Section: Methodsmentioning

confidence: 99%

Evaluating a driving index of nonresidential green building implementation for sustainable development in developing countries from a Vietnamese perspective

Yang

Thuc

Cuong

et al. 2022

Sustainable Development

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The purpose of this study is to evaluate a quantitative driving index for implementing green building in Vietnam as a case study in developing countries. Using literature review and expert interviews, 19 driving forces affecting green building implementation were identified in the Vietnamese context. Via obtained data from a questionnaire survey, four principle factors were grouped from defined drivers. The fuzzy synthetic evaluation method was utilized to develop a driving index (DI) for developing the green building in Vietnam. DI model indicated that environmental impact is the most crucial group for green building implementation in Vietnam. Apart from this, the result of the comparative analysis also indicated that most driving forces for adopting green building in developing countries related to environmental and social problems. These results provide the decision-makers with a comprehensive tool to assess the expectations for green building implementation in both Vietnam and other developing countries.

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Section: Methodsmentioning

confidence: 99%

Evaluating a driving index of nonresidential green building implementation for sustainable development in developing countries from a Vietnamese perspective

Yang

Thuc

Cuong

et al. 2022

Sustainable Development

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“…The number of neurons is represented by A, B, and N in the input, output, and hidden layers, respectively. Constant C∈ [1,10].According to the established model, there are 20 neurons in the input layer, that is, A=20, and 1 neuron in the output layer, that is, B=1.Then, N∈ [6,15].…”

Section: Genetic Algorithm To Optimize Bp Neural Network 31 Bp Neural...mentioning

confidence: 99%

“…At present,the research on green building mainly focuses on the implementation mechanism and cost, while the research on green building construction safety is relatively few. Nguyen et al [1]studied the comprehensive risk of green building projects through fuzzy comprehensive evaluation method. Yang et al [2]used social network analysis to study the development factors of green housing.…”

Section: Introductionmentioning

confidence: 99%

Safety risk assessment of green building construction based on BP neural network optimized by genetic algorithm

zhang,

wang

2023

Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023)

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This study examines the assessment of construction safety risks in green building risk management. By comprehensively considering all factors that affect the safety of green building construction, an evaluation index system is established. The AHP method is used to weigh each index, expert scoring determines the risk level of each project index, and the weighted summation results in the expected output value. In addition, the genetic algorithm (GA) is introduced to optimize the BP neural network, and an evaluation model based on AHP and GA-BP neural network is established that can be used to predict and evaluate construction safety risks. The results show that this method can effectively predict the safety risk of green building construction and provide valuable guidance for the safety management of green building construction.

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“…The authors will use this technique to assess the level of RMM possessed by construction organizations. This technique consists of three elements [46,47]…”

Section: Fuzzy Synthetic Evaluation Technique (Fse)mentioning

confidence: 99%

Assessment of Construction Risk Management Maturity Using Hybrid Fuzzy Analytical Hierarchy Process and Fuzzy Synthetic Approach: Iraq as Case Study

Abed¹,

Rashid²

2023

MMEP

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Knowing and developing the construction organizations' maturity level in risk management is critical to ensure they achieve their strategic objectives. This paper aims to design a new construction organizations' risk-management maturity model (C.ORM3) using new hybrid techniques and a distinct validation strategy based on global and local experience, to assess risk management maturity level in developing countries. A multi-steps methodology was adopted in this research. The study adopted an excessive systematic literature reviews of 22 previous articles on RM maturity and four standards and guidelines for eliciting model components. These components include five attributes with 26 capabilities; 24 capabilities identified from literature review and 2 from experts. These capabilities are evaluated against five levels: immature, ad-hoc, standard, managed, and optimized. The authors adopted a new strategy for validating the model by three groups of global and local experts and verifying the proposed model in a realistic-world case study. This study is the first to use a hybrid method based on the Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy Synthetic Evaluation (FSE) techniques in evaluating RM maturity (RMM). Iraqi construction organizations validate the practicality of the model. The results showed that the overall RMM level of the Iraqi construction sector is 1.52, between immature and ad-hoc. The model has been converted into a computer template for ease of use by organizations. This study concluded that the suggested C.ORM3 helpful for construction organisations to evaluate their current state of RM and plan for future development.

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A comprehensive risk assessment model based on a fuzzy synthetic evaluation approach for green building projects: the case of Vietnam

Cited by 21 publications

References 38 publications

Evaluating a driving index of nonresidential green building implementation for sustainable development in developing countries from a Vietnamese perspective

Evaluating a driving index of nonresidential green building implementation for sustainable development in developing countries from a Vietnamese perspective

Safety risk assessment of green building construction based on BP neural network optimized by genetic algorithm

Assessment of Construction Risk Management Maturity Using Hybrid Fuzzy Analytical Hierarchy Process and Fuzzy Synthetic Approach: Iraq as Case Study

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