Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects

Islam, Muhammad; Skitmore, Martin; Attarzadeh, Meghdad

doi:10.1016/j.aei.2017.06.001

Cited by 136 publications

(109 citation statements)

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“…Then, reference alternative is determined by Equation (12) and its distance with the alternatives is calculated using Equation (12). Grey relational coefficient is obtained using Equation (14). Equation (15) is utilized to provide the grey relational degree for each alternative, which is reported in the second column of Table 8.…”

Section: The Results Of Applying Improved Gramentioning

confidence: 99%

“…Figure 4 focuses on the central role of environment that plays in human society, and in turn, in the economy. According to the weight of subcriteria, "adherence to environmental policies" (C 310 ), "having profits for the society" (C 14 ), and "paying attention to society and market needs" (C 13 ) are the most important sustainability subcriteria. Furthermore, "having profits for the society" (C 14 ), "Increasing social justice" (C 28 ), and "adherence to environmental policies" (C 310 ) with the weight scores of 0.057, 0.053, and 0.058, are the most important criteria in the economic, social, and environmental aspects, respectively.…”

Section: Summary Of Findingsmentioning

confidence: 99%

“…Time risk, expense risk, quality risk, and risk related to environmental sustainability were utilized for assessing construction projects. Islam et al [14] used risk factors to assess construction projects based on fuzzy multi-criteria decision-making methods. One recent study has assessed a tunneling project based on five risk factors namely time risk, expense risk, quality risk, safety risk, and environment sustainability risk [15,16].…”

Section: Introductionmentioning

confidence: 99%

“…It should be mentioned that final weights of each subcriterion are obtained by multiplying the local weight of the respective main criterion to the local weight of that subcriterion. Based on the results reported in Table 6, it can be concluded that among subcriteria of sustainable development in construction projects, "adherence to environmental policies" (C 310 ), "having profits for the society" (C 14 ), and "paying attention to society and market needs" (C 13 ) are the most important subcriteria. …”

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confidence: 99%

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Construction Projects Assessment Based on the Sustainable Development Criteria by an Integrated Fuzzy AHP and Improved GRA Model

Hatefi

Tamošaitienė

2018

Sustainability

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Due to the increasing population and earth pollution, managing construction and infrastructure projects with less damage to the environment and less pollution is very important. Sustainable development aims at reducing damage to the environment, making projects economical, and increasing comfort and social justice. This study proposes fuzzy analytic hierarchy process (AHP) and improved grey relational analysis (GRA) to assess construction projects based on the sustainable development criteria. For doing so, sustainable development criteria are first identified in economic, social, and environmental dimensions using literature review, and are then customized for urban construction projects using experts' opinions. After designing questionnaires and collecting data, fuzzy AHP is used for determining the importance of sustainable development criteria and their subcriteria. Then, improved GRA is employed for assessing six recreational, commercial, and official centers in Isfahan regarding the weights of criteria and subcriteria. The proposed fuzzy AHP-improved GRA help us to prioritize construction projects based on the sustainable development criteria. The results of applying fuzzy AHP show that the weights of economic, social, and environmental criteria are equal to 0.330, 0.321, and 0.349, respectively, which are close to each other. This means that the importance of all three aspects of sustainability is almost equal to each other. Furthermore, "Having profits for the society", "Increasing social justice", and "Adherence to environmental policies" are identified as the most important indicators of sustainable development in terms of economic, social, and environmental aspects, respectively. Finally, the results of employing improved GRA determine Negin Chaharbagh recreational and commercial complex as the best project.

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Section: The Results Of Applying Improved Gramentioning

confidence: 99%

Section: Summary Of Findingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Construction Projects Assessment Based on the Sustainable Development Criteria by an Integrated Fuzzy AHP and Improved GRA Model

Hatefi

Tamošaitienė

2018

Sustainability

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“…The fuzzy logic depends on its capability to address important and imprecise information which is a crucial tool for decision making. Studies in recent years reveal that utilization of fuzzy logic in scope of risk management in construction projects is being addressed dramatically by researchers in this field (Islam et al, 2017). (Deshmukh & Romine, 1998) offered a decision making model by using the theory of fuzzy sets used for the evaluation of risk management.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy inference system-Latin hypercube simulation: An integrated hybrid model for OHS risks management

Haqiqat¹,

Mehrjerdi²,

Bidaki³

2019

10.5267/j.jpm

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Risk management in construction industry in several cases is not only incomplete regarding the unification of Occupational Health and Safety (OHS) hazards, but it is also incomplete in not having a systematic and innovative method to assess the impacts of these risks on the objectives of a project. An integrated hybrid Fuzzy Inference System-Latin Hypercube Simulation for the evaluation of OHS risks in construction projects is presented in this paper. Prioritization of safety risks systematically without human interference with fuzzy inference system gives the appropriate response to the identified risks. An advanced Monte Carlo simulation is also used for the evaluation of quantitative objectives of a project. This approach allows us to get away from discrimination and simulate the risks with high impacts but with low probabilities. In order to measure the relationship between the occurrences of each of the risks impacts on project objectives, the sensitivity analysis based on Pearson correlation coefficient is used to determine the usefulness of the proposed integrated hybrid method.

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Risk prioritisation using fuzzy analytic network process: A case of Addis–Djibouti railway construction project

Gashaw

Jilcha

2021

Multi Criteria Decision Anal

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The purpose of this paper is to develop a risk assessment model to prioritise the risks of railway construction projects. A fuzzy analytic network process (FANP) is employed to rank project risks based on the likelihood of project risks and their impact on cost and time. Fuzzy set theory is used to represent the vagueness in each expert's judgment, while ANP is used to deal with interdependence and feedback effects of risks. The data for this study was collected through literature reviews, interviews, and questionnaires. According to the study results, the right-of-way corresponds to the top risk that has highest impact on time and cost. Construction errors and incomplete contract details were found to rank second and third in terms of risk severity. Similarly, design changes and lack of coordination among parties are ranked fourth and fifth, respectively. The study results help practitioners and decisionmakers understand the main risks of the Ethiopian railway construction projects and take proactive actions accordingly. Furthermore, this paper can help researchers' model project risks and analyse their impact on project objectives considering uncertainty, interdependence, and feedback.

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Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects

Cited by 136 publications

References 145 publications

Construction Projects Assessment Based on the Sustainable Development Criteria by an Integrated Fuzzy AHP and Improved GRA Model

Construction Projects Assessment Based on the Sustainable Development Criteria by an Integrated Fuzzy AHP and Improved GRA Model

Fuzzy inference system-Latin hypercube simulation: An integrated hybrid model for OHS risks management

Risk prioritisation using fuzzy analytic network process: A case of Addis–Djibouti railway construction project

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