Risk Evaluation for Bridge Engineering Based on Cloud-Clustering Group Decision Method

Peng, Keke

doi:10.1061/(asce)cf.1943-5509.0001255

Cited by 15 publications

(12 citation statements)

References 12 publications

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“…This has been shown by previous studies on the analysis of risk in megaproject context which defined the sample of 30 is enough to validate the findings, considering there is no certain rule of thumb to determine the sample size (Charkhakan and Heravi, 2018; Peng, 2019). The presentation of risk analysis results constitutes statistical descriptive analysis carried out using Excel spreadsheet and the Statistical Package for Social Science.…”

Section: Methodsmentioning

confidence: 80%

“…Following Figure 3, managerial risks are those risks which are related to the management skills and experience of the project team and project parties, the availability of project management professionals and the relationship and coordination among project parties (Ling and Hoi, 2006). Construction risks involve issues or concerns associated with construction methods, work tasks, delays and interruptions in construction, cost overruns and quality of construction (Shrestha et al , 2017; Peng, 2019).…”

Section: Methodsmentioning

confidence: 99%

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Investigating risk of bridge construction project: exploring Suramadu strait-crossing cable-stayed bridge in Indonesia

Ongkowijoyo

Gurmu

Andi

2020

IJDRBE

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Purpose The complexities in strait-crossing cable-stayed bridge project are increasing the risks. This study aims to identify and analyze the significant and worth-considered construction risks of the first, biggest and longest spanned strait-crossing bridge project in Indonesia. Design/methodology/approach As many as 32 risk events were identified and determined as the risks that exist and can be represented in the Suramadu bridge project context. Data was collected through a design-based questionnaire disseminated to experts involved in the project as well as semi-formal interviews. Several quantitative methods were applied to analyze the significant risks, such as relative importance index, Spearman’s rank correlation test and Mann–Whitney U test. Findings The analyses reveal that “unexpected natural behavior” confirmed by both contractor and consultant parties is the most significant and crucial risk event. Another risk event found to be significant is the “delayed payment.” On the other hand, it is also found that several risks within the legal category are found to be less significant compared to other major risk events. Research limitations/implications The results of the present research should be interpreted in the context of several limitations. Given these possible concerns regarding the generalizability of the findings, along with the relatively low rate of participants in the current research, additional studies are needed to provide a more complete picture of stakeholder perceptions who are involved directly in the construction environment as well as to identify more construction risks specifically in the large-scale bridge project. Practical implications This study has provided fundamental contributions to the body of knowledge and practical implication to promote and assist decision-makers toward developing a comprehensive risk assessment of a large-scale bridge project. Originality/value The analyses of outcomes and discussion, as well as the findings of this research, have shed light on the construction risks understanding, which contributes to delivering a theoretical framework for achieving large-scale bridge project success.

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Section: Methodsmentioning

confidence: 80%

Section: Methodsmentioning

confidence: 99%

Investigating risk of bridge construction project: exploring Suramadu strait-crossing cable-stayed bridge in Indonesia

Ongkowijoyo

Gurmu

Andi

2020

IJDRBE

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“…Some authors applying MCDM techniques devote their studies on the risk assessment of bridges from a sustainable perspective (Wang & Elhag, 2006, 2007Wang et al, 2008;Peng, 2019;Shen et al, 2016). Sabatino et al (2015) assess the risk of a particular bridge design using the multi-attribute decision-making technique.…”

Section: Overview Of the Resultsmentioning

confidence: 99%

Life Cycle Sustainability Assessment for Multi-Criteria Decision Making in Bridge Design: A Review

Navarro

Penadés-Plà

Martí

et al. 2020

Journal of Civil Engineering and Management

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Sustainable design of infrastructures has become a major matter of study since the recent establishment of the Agenda 2030. This paper provides a systematic literature review on the use of multi-criteria decision making techniques used so far for the sustainable design of bridges. Special attention is put as well on how the reviewed studies assess the sustainable performance of bridge designs along their life cycle from the economic, the environmental and the social perspective. Although SAW and AHP are recurrently used in the sustainable assessment of bridges, the analysis of the most recent articles show that the application of TOPSIS and PROMETHEE techniques are gaining increasing relevance for such purpose. Most of the studies focus on the research of the construction and the maintenance stage of bridges. However, a need for further analysis is identified when it comes to the assessment of the impacts resulting from the End of Life cycle stage of bridges from a sustainable point of view. The use of intuitionistic and neutrosophic logic have been detected as emerging alternatives to the fuzzy approach of decision making problems.

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“…Multi-attribute group decision making is widely used in economy (Tang et al 2019), management (Cali and Balaman 2019), engineering (Peng 2019) and other fields because it can extract the cognitive judgment information of multiple decision makers and carry out a comprehensive evaluation to alternatives. In group decision making, how to effectively fuse the individual decision-making information is the key of decision-making analysis, which has an important influence on the ranking of alternatives.…”

Section: Comprehensive Grey Relational Analysis; Explainable Ai 1 Introductionmentioning

confidence: 99%

Group Decision-making Method Based on Grey Relational Analysis and Evidence Theory for XAI

Sun

Luo

2021

Preprint

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For the uncertainty and complexity ingroup decision making and the differences of decision makers’ reliabilities, a group decision making method based on grey relational analysis and evidence theory is proposed. Combining grey relational analysis with evidence theory, a novel decision-making method extracting the degree of ignorance for individual decision makers’ information and constructing the Mass function is presented based on the comprehensive grey relational analysis (CGRA) method. We should also address how AI systems make their black box decisions, which calls for research into Explainable AI (XAI) by pursuing reverse engineering and self-explainability in AI. Considering the differences of decision makers’ reliabilities, the Mass function is modified by the evidence weight, and the group decision information is fused by the Dempster’s combination rule. On this basis, the Mass function is further transformed into the probability by the Pignistic probability transformation, which issued for ranking analysis of group decision making. Finally, the proposed method is applied to the green supplier selection, and the comparative analysis is further performed to verify the rationality and effectiveness of the proposed method.

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Risk Evaluation for Bridge Engineering Based on Cloud-Clustering Group Decision Method

Cited by 15 publications

References 12 publications

Investigating risk of bridge construction project: exploring Suramadu strait-crossing cable-stayed bridge in Indonesia

Investigating risk of bridge construction project: exploring Suramadu strait-crossing cable-stayed bridge in Indonesia

Life Cycle Sustainability Assessment for Multi-Criteria Decision Making in Bridge Design: A Review

Group Decision-making Method Based on Grey Relational Analysis and Evidence Theory for XAI

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